Thomas Bäck

Anna V. Kononova

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Challenges of ELA-Guided Function Evolution Using Genetic Programming.

[BibT_eX]

[DOI]

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

MA-VAE: Multi-Head Attention-Based Variational Autoencoder Approach for Anomaly Detection in Multivariate Time-Series Applied to Automotive Endurance Powertrain Testing.

[BibT_eX]

[DOI]

Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

Clustering-based Domain-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Modular Differential Evolution.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Towards a General Boolean Function Benchmark Suite.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Benchmarking and analyzing iterative optimization heuristics with IOHprofiler.

[BibT_eX]

[DOI]

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

General Boolean Function Benchmark Suite.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023

Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023

A Decision Diagram Operation for Reachability.

[BibT_eX]

[DOI]

Sebastiaan Brand

Alfons Laarman

Proceedings of the Formal Methods - 25th International Symposium, 2023

Transfer of Multi-objectively Tuned CMA-ES Parameters to a Vehicle Dynamics Problem.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

The Prism-Net Search Space Representation for Multi-objective Building Spatial Design.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Real-World Airline Crew Pairing Optimization: Customized Genetic Algorithm Versus Column Generation Method.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Hyperparameter Optimization and Neuroevolution with Binary Quadratic Meta-heuristics and Evolution Strategies.

[BibT_eX]

[DOI]

Proceedings of the 7th IEEE Congress on Information Science and Technology, 2023

Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

MA-BBOB: Many-Affine Combinations of BBOB Functions for Evaluating AutoML Approaches in Noiseless Numerical Black-Box Optimization Contexts.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Automated Machine Learning, 2023

2022

FM 2023 Artefact for "A Decision Diagram Operation for Reachability".

[BibT_eX]

[DOI]

Sebastiaan Brand

Juan de Santiago Rojo Jr.

Alfons Laarman

Dataset, November, 2022

Explainable Artificial Intelligence for Exhaust Gas Temperature of Turbofan Engines.

[BibT_eX]

[DOI]

Marios Kefalas

J. Aerosp. Inf. Syst., June, 2022

Data Sets for the study "Non-Elitist Selection Can Improve the Performance of Irace".

[BibT_eX]

[DOI]

Dataset, April, 2022

Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling: Generated data files and figures.

[BibT_eX]

[DOI]

Dataset, February, 2022

Analyzing the Impact of Undersampling on the Benchmarkingand Configuration of Evolutionary Algorithms - Dataset.

[BibT_eX]

[DOI]

Dataset, January, 2022

Artificial Intelligence for the Design of Symmetric Cryptographic Primitives.

[BibT_eX]

[DOI]

Luca Mariot

Domagoj Jakobovic

Julio C. Hernandez-Castro

Security and Artificial Intelligence, 2022

IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics.

[BibT_eX]

[DOI]

ACM Trans. Evol. Learn. Optim., 2022

Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2022

Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2022

Guest Editorial Special Issue on Benchmarking Sampling-Based Optimization Heuristics: Methodology and Software.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2022

Constrained Multi-Objective Optimization with a Limited Budget of Function Evaluations.

[BibT_eX]

[DOI]

Memetic Comput., 2022

The vision of self-evolving computing systems.

[BibT_eX]

[DOI]

Ahmed Nabil Belbachir

J. Integr. Des. Process. Sci., 2022

Robust subgroup discovery.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2022

Optimizing Stimulus Energy for Cochlear Implants with a Machine Learning Model of the Auditory Nerve.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Learning based pipeline for anomaly detection and quality enhancement in industrial binder jetting processes.

[BibT_eX]

[DOI]

Alexander Zeiser

CoRR, 2022

Reinforcement Learning Assisted Recursive QAOA.

[BibT_eX]

[DOI]

CoRR, 2022

Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications.

[BibT_eX]

[DOI]

CoRR, 2022

Equivariant quantum circuits for learning on weighted graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Chaining of Numerical Black-box Algorithms: Warm-Starting and Switching Points.

[BibT_eX]

[DOI]

CoRR, 2022

Non-Elitist Selection among Survivor Configurations can Improve the Performance of Irace.

[BibT_eX]

[DOI]

Diederick L. Vermetten

CoRR, 2022

A Comparison of Global Sensitivity Analysis Methods for Explainable AI With an Application in Genomic Prediction.

[BibT_eX]

[DOI]

Roeland C. H. J. van Ham

IEEE Access, 2022

An Efficient Contesting Procedure for AutoML Optimization.

[BibT_eX]

[DOI]

IEEE Access, 2022

Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Non-elitist Selection Can Improve the Performance of Irace.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

A Systematic Approach to Analyze the Computational Cost of Robustness in Model-Assisted Robust Optimization.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Saliency Can Be All You Need in Contrastive Self-supervised Learning.

[BibT_eX]

[DOI]

Veysel Kocaman

Ahmed Nabil Belbachir

Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

Auto-REP: An Automated Regression Pipeline Approach for High-efficiency Earthquake Prediction Using LANL Data.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Computer and Automation Engineering, 2022

Automated configuration of genetic algorithms by tuning for anytime performance: hot-off-the-press track at GECCCO 2022.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Multi-point acquisition function for constraint parallel efficient multi-objective optimization.

[BibT_eX]

[DOI]

Roy de Winter

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

IOHanalyzer: Detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Analyzing the impact of undersampling on the benchmarking and configuration of evolutionary algorithms.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

One-shot optimization for vehicle dynamics control systems: towards benchmarking and exploratory landscape analysis.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Learning the characteristics of engineering optimization problems with applications in automotive crash.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Quantum-enhanced selection operators for evolutionary algorithms.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Benchmarking and analyzing iterative optimization heuristics with IOH profiler.

[BibT_eX]

[DOI]

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Hyperparameter Importance of Quantum Neural Networks Across Small Datasets.

[BibT_eX]

[DOI]

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

IOHanalyzer version 0.1.6.1 + example datasets.

[BibT_eX]

[DOI]

Dataset, October, 2021

Data sets for the study "Automated Configuration of Genetic Algorithms by Tuning for Anytime Performance.".

[BibT_eX]

[DOI]

Dataset, May, 2021

Data Sets for the study "Leveraging Benchmarking Data for Informed One-Shot Dynamic Algorithm Selection".

[BibT_eX]

[DOI]

Dataset, February, 2021

Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling: Generated data files and figures.

[BibT_eX]

[DOI]

Dataset, February, 2021

Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2021

Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2021

Differential evolution outside the box.

[BibT_eX]

[DOI]

Anna V. Kononova

Fabio Caraffini

Inf. Sci., 2021

Lifelong Computing.

[BibT_eX]

[DOI]

Ahmed Nabil Belbachir

CoRR, 2021

Multiagent Deep Reinforcement Learning: Challenges and Directions Towards Human-Like Approaches.

[BibT_eX]

[DOI]

CoRR, 2021

Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants.

[BibT_eX]

[DOI]

Jacob de Nobel

CoRR, 2021

Quantum-Assisted Feature Selection for Vehicle Price Prediction Modeling.

[BibT_eX]

[DOI]

CoRR, 2021

Robust subgroup discovery.

[BibT_eX]

[DOI]

Hugo Manuel Proença

Matthijs van Leeuwen

CoRR, 2021

Preprint: Norm Loss: An efficient yet effective regularization method for deep neural networks.

[BibT_eX]

[DOI]

CoRR, 2021

PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data.

[BibT_eX]

[DOI]

CoRR, 2021

Finding Efficient Trade-offs in Multi-Fidelity Response Surface Modeling.

[BibT_eX]

[DOI]

CoRR, 2021

Temporal convolutional autoencoder for unsupervised anomaly detection in time series.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

Bayesian neural architecture search using a training-free performance metric.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2021

Exploiting Generative Models for Performance Predictions of 3D Car Designs.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Efficient AutoML via Combinational Sampling.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Multi-car paint shop optimization with quantum annealing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2021

Optimally Weighted Ensembles for Efficient Multi-objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

The Unreasonable Effectiveness of the Final Batch Normalization Layer.

[BibT_eX]

[DOI]

Veysel Kocaman

Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

Automated Machine Learning for Remaining Useful Life Estimation of Aircraft Engines.

[BibT_eX]

[DOI]

Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021

Solving the Shipment Rerouting Problem with Quantum Optimization Techniques.

[BibT_eX]

[DOI]

Proceedings of the Computational Logistics - 12th International Conference, 2021

Leveraging benchmarking data for informed one-shot dynamic algorithm selection.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Is there anisotropy in structural bias?

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

A new acquisition function for robust Bayesian optimization of unconstrained problems.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Explorative data analysis of time series based algorithm features of CMA-ES variants.

[BibT_eX]

[DOI]

Jacob de Nobel

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Addressing the multiplicity of solutions in optical lens design as a niching evolutionary algorithms computational challenge.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Expressivity of parameterized and data-driven representations in quality diversity search.

[BibT_eX]

[DOI]

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Tabu-Driven Quantum Neighborhood Samplers.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2021

SAMO-COBRA: A Fast Surrogate Assisted Constrained Multi-objective Optimization Algorithm.

[BibT_eX]

[DOI]

Roy de Winter

Proceedings of the Evolutionary Multi-Criterion Optimization, 2021

Improved Automated CASH Optimization with Tree Parzen Estimators for Class Imbalance Problems.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

A Combination of Fourier Transform and Machine Learning for Fault Detection and Diagnosis of Induction Motors.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Dependable Systems and Their Applications, 2021

Exploiting Local Geometric Features in Vehicle Design Optimization with 3D Point Cloud Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Requirements towards optimizing analytics in industrial processes.

[BibT_eX]

[DOI]

Alexander Zeiser

Proceedings of the 12th International Conference on Ambient Systems, 2021

Point2FFD: Learning Shape Representations of Simulation-Ready 3D Models for Engineering Design Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2021

2020

On the Performance of Oversampling Techniques for Class Imbalance Problems.

[BibT_eX]

[DOI]

Dataset, May, 2020

Experimental Results for the study "A Modular Hybridization of Particle Swarm Optimization and Differential Evolution".

[BibT_eX]

[DOI]

Rick Boks

Dataset, May, 2020

Experimental Data Sets for the study "Benchmarking a (μ+λ) Genetic Algorithm with Configurable Crossover Probability".

[BibT_eX]

[DOI]

Dataset, April, 2020

Experimental Data Sets for the study "Benchmarking a (μ+λ) Genetic Algorithm with Configurable Crossover Probability".

[BibT_eX]

[DOI]

Dataset, April, 2020

The Experimental Data Sets for the study "Benchmarking a (μ+λ) Genetic Algorithm withConfigurable Crossover Probability".

[BibT_eX]

[DOI]

Dataset, April, 2020

MarkusThill/MGAB: The Mackey-Glass Anomaly Benchmark.

[BibT_eX]

[DOI]

Dataset, April, 2020

MarkusThill/MGAB: The Mackey-Glass Anomaly Benchmark.

[BibT_eX]

[DOI]

Dataset, April, 2020

An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization.

[BibT_eX]

[DOI]

Dataset, February, 2020

Hyperparameter Optimisation for Improving Classification under Class Imbalance.

[BibT_eX]

[DOI]

Dataset, February, 2020

The significance of bug report elements.

[BibT_eX]

[DOI]

Mozhan Soltani

Felienne Hermans

Empir. Softw. Eng., 2020

IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic.

[BibT_eX]

[DOI]

CoRR, 2020

A Novel Column Generation Heuristic for Airline Crew Pairing Optimization with Large-scale Complex Flight Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Improving Many-objective Evolutionary Algorithms by Means of Expanded Cone Orders.

[BibT_eX]

[DOI]

Yali Wang

CoRR, 2020

A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling.

[BibT_eX]

[DOI]

Yali Wang

CoRR, 2020

On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks.

[BibT_eX]

[DOI]

CoRR, 2020

AirCROP: Airline Crew Pairing Optimizer for Complex Flight Networks Involving Multiple Crew Bases & Billion-Plus Variables.

[BibT_eX]

[DOI]

CoRR, 2020

Benchmarking discrete optimization heuristics with IOHprofiler.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2020

Cluster-based Kriging approximation algorithms for complexity reduction.

[BibT_eX]

[DOI]

Appl. Intell., 2020

Towards Data-driven Services in Vehicles.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Vehicle Technology and Intelligent Transport Systems, 2020

A Tailored NSGA-III for Multi-objective Flexible Job Shop Scheduling.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Edge-Rotated Cone Orders in Multi-objective Evolutionary Algorithms for Improved Convergence and Preference Articulation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Exploring Dimensionality Reduction Techniques for Efficient Surrogate-Assisted optimization.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Neural Network Design: Learning from Neural Architecture Search.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Back To Meshes: Optimal Simulation-ready Mesh Prototypes For Autoencoder-based 3D Car Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Per-Instance Configuration of the Modularized CMA-ES by Means of Classifier Chains and Exploratory Landscape Analysis.

[BibT_eX]

[DOI]

Raphael Patrick Prager

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Benchmarking a (μ +λ ) Genetic Algorithm with Configurable Crossover Probability.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Improving Many-Objective Evolutionary Algorithms by Means of Edge-Rotated Cones.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Can Compact Optimisation Algorithms Be Structurally Biased?

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Improving Imbalanced Classification by Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Designing Air Flow with Surrogate-Assisted Phenotypic Niching.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Discovering Outstanding Subgroup Lists for Numeric Targets Using MDL.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

On the Performance of Oversampling Techniques for Class Imbalance Problems.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

A Classification-based Solution For Recommending Process Parameters of Production Processes Without Quality Measures.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), 2020

Exploring Clinical Time Series Forecasting with Meta-Features in Variational Recurrent Models.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Feature Visualization for 3D Point Cloud Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study.

[BibT_eX]

[DOI]

Veysel Kocaman

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Comparison of deep learning and hand crafted features for mining simulation data.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Norm Loss: An efficient yet effective regularization method for deep neural networks.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

A Deep Dive Into Exploring the Preference Hypervolume.

[BibT_eX]

[DOI]

Alexander Hagg

Alexander Asteroth

Proceedings of the Eleventh International Conference on Computational Creativity, 2020

Improving NSGA-III for flexible job shop scheduling using automatic configuration, smart initialization and local search.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Benchmarking and analyzing iterative optimization heuristics with IOHprofiler.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Integrated vs. sequential approaches for selecting and tuning CMA-ES variants.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Towards dynamic algorithm selection for numerical black-box optimization: investigating BBOB as a use case.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Sequential experimentation by evolutionary algorithms.

[BibT_eX]

[DOI]

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

A modular hybridization of particle swarm optimization and differential evolution.

[BibT_eX]

[DOI]

Rick Boks

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Can Single Solution Optimisation Methods Be Structurally Biased?

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Time Series Encodings with Temporal Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020

An Analysis of Phenotypic Diversity in Multi-solution Optimization.

[BibT_eX]

[DOI]

Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020

Automated Machine Learning for the Classification of Normal and Abnormal Electromyography Data.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Multi-Objective Bayesian Global Optimization using expected hypervolume improvement gradient.

[BibT_eX]

[DOI]

Swarm Evol. Comput., 2019

Efficient computation of expected hypervolume improvement using box decomposition algorithms.

[BibT_eX]

[DOI]

J. Glob. Optim., 2019

Mirrored Orthogonal Sampling for Covariance Matrix Adaptation Evolution Strategies.

[BibT_eX]

[DOI]

Evol. Comput., 2019

Sequential vs. Integrated Algorithm Selection and Configuration: A Case Study for the Modular CMA-ES.

[BibT_eX]

[DOI]

CoRR, 2019

SACOBRA with Online Whitening for Solving Optimization Problems with High Conditioning.

[BibT_eX]

[DOI]

CoRR, 2019

Automated Machine Learning for Short-term Electric Load Forecasting.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Hyperparameter Optimisation for Improving Classification under Class Imbalance.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

A New Approach Towards the Combined Algorithm Selection and Hyper-parameter Optimization Problem.

[BibT_eX]

[DOI]

Xin Guo

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Switching Between Swarm Optimization Algorithms During a Run: An Empirical Study.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks.

[BibT_eX]

[DOI]

Proceedings of the 19th Conference Information Technologies, 2019

Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms.

[BibT_eX]

Proceedings of the Advances in Data Mining, 2019

Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization.

[BibT_eX]

[DOI]

Kaifeng Yang

Pramudita Satria Palar

Koji Shimoyama

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Online selection of CMA-ES variants.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

A tabu search-based memetic algorithm for the multi-objective flexible job shop scheduling problem.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Predict or screen your expensive assay: DoE vs. surrogates in experimental combinatorial optimization.

[BibT_eX]

[DOI]

Naama Horesh

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Modeling user selection in quality diversity.

[BibT_eX]

[DOI]

Alexander Hagg

Alexander Asteroth

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Multi-objective genetic algorithms for reducing mark read-out effort in lithographic tests.

[BibT_eX]

[DOI]

Pierluigi Frisco

Timo Bootsma

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Bayesian performance analysis for black-box optimization benchmarking.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Solving optimization problems with high conditioning by means of online whitening.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

On the potential of evolution strategies for neural network weight optimization.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Diversity-Indicator Based Multi-Objective Evolutionary Algorithm: DI-MOEA.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Vehicle Fleet Maintenance Scheduling Optimization by Multi-objective Evolutionary Algorithms.

[BibT_eX]

[DOI]

Yali Wang

Steffen Limmer

Markus Olhofer

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Hyper-Parameter Optimization for Improving the Performance of Grammatical Evolution.

[BibT_eX]

[DOI]

Yitan Lou

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

Automated Machine Learning for EEG-Based Classification of Parkinson's Disease Patients.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Automatic Configuration of Deep Neural Networks with EGO.

[BibT_eX]

[DOI]

CoRR, 2018

IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics.

[BibT_eX]

[DOI]

CoRR, 2018

Identifying flight delay patterns using diverse subgroup discovery.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Towards an Adaptive CMA-ES Configurator.

[BibT_eX]

[DOI]

Sander van Rijn

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Prototype Discovery Using Quality-Diversity.

[BibT_eX]

[DOI]

Alexander Hagg

Alexander Asteroth

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Designing Ships Using Constrained Multi-objective Efficient Global Optimization.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, Optimization, and Data Science, 2018

A Novel Uncertainty Quantification Method for Efficient Global Optimization.

[BibT_eX]

[DOI]

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

Learning Fluid Flows.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Machine Learning for Predicting the Impact Point of a Low Speed Vehicle Crash.

[BibT_eX]

[DOI]

Milan Koch

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Machine Learning for Predicting the Damaged Parts of a Low Speed Vehicle Crash.

[BibT_eX]

[DOI]

Milan Koch

Proceedings of the 2018 Thirteenth International Conference on Digital Information Management (ICDIM), 2018

Compiling a benchmarking test-suite for combinatorial black-box optimization: a position paper.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Multi-fidelity surrogate model approach to optimization.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement.

[BibT_eX]

[DOI]

Pramudita Satria Palar

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Towards a theory-guided benchmarking suite for discrete black-box optimization heuristics: profiling (1 + λ) EA variants on onemax and leadingones.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

A new foraging-based algorithm for online scheduling.

[BibT_eX]

[DOI]

Koen van der Blom

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Ranking empirical cumulative distribution functions using stochastic and pareto dominance.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Algorithms for Simulation-Based Optimization Problems.

[BibT_eX]

[DOI]

Proceedings of the European Conference on Modelling and Simulation, 2018

First Results Solving Arbitrarily Structured Maximum Independent Set Problems Using Quantum Annealing.

[BibT_eX]

[DOI]

Sheir Yarkoni

Aske Plaat

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Cooling Strategies for the Moment-Generating Function in Bayesian Global Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Dynamic vehicle routing with time windows in theory and practice.

[BibT_eX]

[DOI]

Nat. Comput., 2017

Corrigendum to 'Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms' [Information Sciences volumes 367-368 (2016) 80-104].

[BibT_eX]

[DOI]

Jiaqi Zhao

Vitor Basto-Fernandes

Inf. Sci., 2017

Artificial Intelligence and Data Science in the Automotive Industry.

[BibT_eX]

[DOI]

Martin Hofmann

Florian Neukart

CoRR, 2017

Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2017

A new acquisition function for Bayesian optimization based on the moment-generating function.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Boosting Quantum Annealing Performance Using Evolution Strategies for Annealing Offsets Tuning.

[BibT_eX]

[DOI]

Proceedings of the Quantum Technology and Optimization Problems, 2017

A multi-method simulation of a high-frequency bus line.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Reconstructing fixed time traffic light cycles by camera data analytics.

[BibT_eX]

[DOI]

Marco Schönfelder

Valentin Protschky

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Sequential experimentation by evolutionary algorithms.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Algorithm configuration data mining for CMA evolution strategies.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Time complexity reduction in efficient global optimization using cluster kriging.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Hypervolume Indicator Gradient Ascent Multi-objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2017

Online anomaly detection on the webscope S5 dataset: A comparative study.

[BibT_eX]

[DOI]

Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

Configuring advanced evolutionary algorithms for multicriteria building spatial design optimisation.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms.

[BibT_eX]

[DOI]

Jiaqi Zhao

Vitor Basto-Fernandes

Inf. Sci., 2016

Multi-objective inventory routing with uncertain demand using population-based metaheuristics.

[BibT_eX]

[DOI]

Integr. Comput. Aided Eng., 2016

Evolving the structure of Evolution Strategies.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A framework for evaluating meta-models for simulation-based optimisation.

[BibT_eX]

[DOI]

Pepijn Van Heiningen

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Online selection of surrogate models for constrained black-box optimization.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Analysis and Visualization of Missing Value Patterns.

[BibT_eX]

[DOI]

Wojtek Kowalczyk

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

SMS-EMOA with multiple dynamic reference points.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Natural Computation, 2016

Preference-based multiobjective optimization using truncated expected hypervolume improvement.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference on Natural Computation, 2016

Selection of a DFO Method for the Efficient Solution of Continuous Constrained Sub-Problems within a Memetic Algorithm for Chemical Process Synthesis.

[BibT_eX]

[DOI]

Sebastian Engell

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Fuzzy clustering for Optimally Weighted Cluster Kriging.

[BibT_eX]

[DOI]

Wojtek Kowalczyk

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Truncated expected hypervolume improvement: Exact computation and application.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Balancing risk and expected gain in kriging-based global optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Equality constraint handling for surrogate-assisted constrained optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Local subspace-based outlier detection using global neighbourhoods.

[BibT_eX]

[DOI]

Matthijs van Leeuwen

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Convex Hull-Based Multiobjective Genetic Programming for Maximizing Receiver Operating Characteristic Performance.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2015

Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control.

[BibT_eX]

[DOI]

CoRR, 2015

Efficient multi-criteria optimization on noisy machine learning problems.

[BibT_eX]

[DOI]

Patrick Koch

Tobias Wagner

Appl. Soft Comput., 2015

Comparing a Weiszfeld's-Based Procedure and (1+1)-es for Solving the Planar Single-Facility Location-Routing Problem.

[BibT_eX]

[DOI]

Pepijn Van Heiningen

Edgar Reehuis

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Multicriteria Inventory Routing by Cooperative Swarms and Evolutionary Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Bioinspired Computation in Artificial Systems, 2015

Optimally Weighted Cluster Kriging for Big Data Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

A New Repair Method For Constrained Optimization.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Multi-point Efficient Global Optimization Using Niching Evolution Strategy.

[BibT_eX]

[DOI]

Proceedings of the EVOLVE, 2015

Towards robustness optimization of complex networks based on redundancy backup.

[BibT_eX]

[DOI]

Xiaoke Zhang

Jun Wu

Cuiying Duan

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Expected hypervolume improvement algorithm for PID controller tuning and the multiobjective dynamical control of a biogas plant.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Ant based solver for dynamic vehicle routing problem with time windows and multiple priorities.

[BibT_eX]

[DOI]

Zhiwei Yang

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Optimizing Highly Constrained Truck Loadings Using a Self-Adaptive Genetic Algorithm.

[BibT_eX]

[DOI]

Sander van Rijn

Edgar Reehuis

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Reducing complexity in many objective optimization using community detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

User-derived mutation in highly constrained Truck Loading Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014

Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm.

[BibT_eX]

[DOI]

Jiaqi Zhao

Vitor Basto-Fernandes

CoRR, 2014

Mirrored orthogonal sampling with pairwise selection in evolution strategies.

[BibT_eX]

[DOI]

Proceedings of the Symposium on Applied Computing, 2014

Power Distribution Network Reconfiguration by Evolutionary Integer Programming.

[BibT_eX]

[DOI]

Kaifeng Yang

Ji Wang

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Introduction to evolution strategies.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

Contemporary Evolution Strategies

[BibT_eX]

[DOI]

Christophe Foussette

Peter Krause

Natural Computing Series, Springer, ISBN: 978-3-642-40136-7, 2013

Mixed Integer Evolution Strategies for Parameter Optimization.

[BibT_eX]

[DOI]

Christoph Johann Stettina

Evol. Comput., 2013

Convex Hull-Based Multi-objective Genetic Programming for Maximizing ROC Performance

[BibT_eX]

[DOI]

CoRR, 2013

Ant Colony Algorithms for the Dynamic Vehicle Routing Problem with Time Windows.

[BibT_eX]

[DOI]

Proceedings of the Natural and Artificial Computation in Engineering and Medical Applications, 2013

Learning-Guided Exploration in Airfoil Optimization.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

Novelty and interestingness measures for design-space exploration.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Academic education of software engineering practices: towards planning and improving capstone courses based upon intensive coaching and team routines.

[BibT_eX]

[DOI]

Zhao Zhou

Bernhard R. Katzy

Proceedings of the 26th International Conference on Software Engineering Education and Training, 2013

2012

What is the value of your software?

[BibT_eX]

[DOI]

Proceedings of the Third International Workshop on Managing Technical Debt, 2012

A meta-genetic algorithm for solving the Capacitated Vehicle Routing Problem.

[BibT_eX]

[DOI]

Stefan Wink

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011

Using the uncertainty handling CMA-ES for finding robust optima.

[BibT_eX]

[DOI]

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

On the log-normal self-adaptation of the mutation rate in binary search spaces.

[BibT_eX]

[DOI]

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Evolutionary strategies for identification and validation of material model parameters for forming simulations.

[BibT_eX]

[DOI]

Lutz Keßler

Ingo Heinle

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Evolution strategies: basic introduction.

[BibT_eX]

[DOI]

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010

Adaptive Niche Radii and Niche Shapes Approaches for Niching with the CMA-ES.

[BibT_eX]

[DOI]

Evol. Comput., 2010

Exploiting Overlap When Searching for Robust Optima.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2010

An Archive Maintenance Scheme for Finding Robust Solutions.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2010

Mixed-integer evolution strategy using multiobjective selection applied to warehouse design optimization.

[BibT_eX]

[DOI]

Edgar Reehuis

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Experimental optimization by evolutionary algorithms.

[BibT_eX]

[DOI]

Joshua D. Knowles

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

A robust optimization approach using Kriging metamodels for robustness approximation in the CMA-ES.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009

Niching with derandomized evolution strategies in artificial and real-world landscapes.

[BibT_eX]

[DOI]

Nat. Comput., 2009

How to Do Recombination in Evolution Strategies: An Empirical Study.

[BibT_eX]

[DOI]

Juan Chen

Joost N. Kok

Proceedings of the Methods and Models in Artificial and Natural Computation. A Homage to Professor Mira.s Scientific Legacy, 2009

On the limitations of adaptive resampling in using the student's t-test evolution strategies.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Enhancing search space diversity in multi-objective evolutionary drug molecule design using niching.

[BibT_eX]

[DOI]

Alexander Aleman

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Combining Aggregation with Pareto Optimization: A Case Study in Evolutionary Molecular Design.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

Niching Methods: Speciation Theory Applied for Multi-modal Function Optimization.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Bioprocesses, 2009

2008

Evolutionary algorithms for real world applications [Application Notes].

[BibT_eX]

[DOI]

IEEE Comput. Intell. Mag., 2008

Mixed-Integer Evolution Strategies with Dynamic Niching.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2008

Niche Radius Adaptation with Asymmetric Sharing.

[BibT_eX]

[DOI]

Vincent van der Goes

Proceedings of the Parallel Problem Solving from Nature, 2008

A Reduced-Cost SMS-EMOA Using Kriging, Self-Adaptation, and Parallelization.

[BibT_eX]

[DOI]

Jan Willem Klinkenberg

Proceedings of the Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, 2008

Performance analysis of derandomized evolution strategies in quantum control experiments.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Evolutionary algorithms for automated drug design towards target molecule properties.

[BibT_eX]

[DOI]

Adriaan P. IJzerman

Eelke van der Horst

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Optimizing Computed Tomographic Angiography Image Segmentation Using Fitness Based Partitioning.

[BibT_eX]

[DOI]

Henk A. Marquering

Proceedings of the Applications of Evolutionary Computing, 2008

On the evolution of laser pulses under a dynamic Quantum Control environment.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Metamodel-assisted mixed integer evolution strategies and their application to intravascular ultrasound image analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007

Computing and the natural sciences at CiE 2005.

[BibT_eX]

[DOI]

Benedikt Löwe

Theor. Comput. Sci., 2007

DNA computing of solutions to knapsack problems.

[BibT_eX]

[DOI]

Biosyst., 2007

Gaining Insights into Laser Pulse Shaping by Evolution Strategies.

[BibT_eX]

[DOI]

Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

On the scalability of evolution strategies in the optimization of dynamic molecular alignment.

[BibT_eX]

[DOI]

Marc J. J. Vrakking

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

The second harmonic generation case-study as a gateway for es to quantum control problems.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Performance analysis of niching algorithms based on derandomized-ES variants.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Classification of Cell Fates with Support Vector Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Computation, 2007

Towards Dynamic Fitness Based Partitioning for IntraVascular UltraSound Image Analysis.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutinary Computing, 2007

The application of evolutionary multi-criteria optimization to dynamic molecular alignment.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Self-Adaptive Niching CMA-ES with Mahalanobis Metric.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Evolution Strategies for Laser Pulse Compression.

[BibT_eX]

[DOI]

Proceedings of the Artificial Evolution, 2007

2006

Mining a Chemical Database for Fragment Co-occurrence: Discovery of "Chemical Clichés".

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2006

The Molecule Evoluator. An Interactive Evolutionary Algorithm for the Design of Drug-Like Molecules.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2006

Substructure Mining Using Elaborate Chemical Representation.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2006

Niche Radius Adaptation in the CMA-ES Niching Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2006

Mixed-Integer NK Landscapes.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2006

Learning the Complete-Basis-Functions Parameterization for the Optimization of Dynamic Molecular Alignment by ES.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

The complete-basis-functions parameterization in ES and its application to laser pulse shaping.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

Mixed-Integer Evolution Strategies and Their Application to Intravascular Ultrasound Image Analysis.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computing, 2006

On Interactive Evolution Strategies.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computing, 2006

Evolutionary Algorithms in the Optimization of Dynamic Molecular Alignment.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

Evolutionary Algorithms in Drug Design.

[BibT_eX]

[DOI]

Nat. Comput., 2005

Using Genetic Algorithms to Evolve Behavior in Cellular Automata.

[BibT_eX]

[DOI]

Proceedings of the Unconventional Computation, 4th International Conference, 2005

Reliable Hierarchical Clustering with the Self-organizing Map.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis VI, 2005

Niching in evolution strategies.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Using a genetic algorithm to evolve behavior in multi dimensional cellular automata: emergence of behavior.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

Dynamic niching in evolution strategies with covariance matrix adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Niching in Evolution Strategies and Its Application to Laser Pulse Shaping.

[BibT_eX]

[DOI]

Proceedings of the Artificial Evolution, 2005

2004

Preface.

[BibT_eX]

[DOI]

Marc Schoenauer

Nat. Comput., 2004

Industrial Optimization by Evolution Strategies: A Bioinspired Optimization Algorithm.

[BibT_eX]

Peter Krause

Informatica (Slovenia), 2004

Robust Parameter Settings for Variation Operators by Measuring the Resampling Ratio: A Study on Binary Constraint Satisfaction Problems.

[BibT_eX]

[DOI]

Jano I. van Hemert

J. Heuristics, 2004

Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm.

[BibT_eX]

[DOI]

Proceedings of the Unconventional Programming Paradigms, 2004

Evolving Transition Rules for Multi Dimensional Cellular Automata.

[BibT_eX]

[DOI]

Proceedings of the Cellular Automata, 2004

2003

An analysis of the behavior of simplified evolutionary algorithms on trap functions.

[BibT_eX]

[DOI]

Siegfried Nijssen

IEEE Trans. Evol. Comput., 2003

Combining and Comparing Cluster Methods in a Receptor Database.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis V, 2003

Multi-criteria Airfoil Design with Evolution Strategies.

[BibT_eX]

[DOI]

Proceedings of the Evolutionary Multi-Criterion Optimization, 2003

Comparing neural networks and Kriging for fitness approximation in evolutionary optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002

Adaptive business intelligence based on evolution strategies: some application examples of self-adaptive software.

[BibT_eX]

[DOI]

Inf. Sci., 2002

Evolutionary Computation: A Guided Tour.

[BibT_eX]

Bull. EATCS, 2002

Evaluating Multi-criteria Evolutionary Algorithms for Airfoil Optimisation.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2002

Measuring the Searched Space to Guide Efficiency: The Principle and Evidence on Constraint Satisfaction.

[BibT_eX]

[DOI]

Jano I. van Hemert

Proceedings of the Parallel Problem Solving from Nature, 2002

Metamodel-Assisted Evolution Strategies.

[BibT_eX]

[DOI]

Kyriakos C. Giannakoglou

Proceedings of the Parallel Problem Solving from Nature, 2002

Effects of Tax and Evolution in an Artificial Society.

[BibT_eX]

Daniel Vermeulen

Proceedings of the 6th Joint Conference on Information Science, 2002

Multi Objective Airfoil Design Using Single Parent Populations.

[BibT_eX]

Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

2001

Thresholding-a selection operator for noisy ES.

[BibT_eX]

[DOI]

Proceedings of the 2001 Congress on Evolutionary Computation, 2001

Theory of Genetic Algorithms.

[BibT_eX]

Jeannette M. de Graaf

Joost N. Kok

Walter A. Kosters

Proceedings of the Current Trends in Theoretical Computer Science, 2001

2000

An Empirical Study on GAs "Without Parameters".

[BibT_eX]

[DOI]

Nikolai A. L. van der Vaart

Proceedings of the Parallel Problem Solving from Nature, 2000

A Distributed Resource Evolutionary Algorithm Machine (DREAM).

[BibT_eX]

[DOI]

Proceedings of the 2000 Congress on Evolutionary Computation, 2000

1999

Improved Evolutionary Algorithms for Scheduling Problems.

[BibT_eX]

Proceedings of the German-Argentinian Workshop on Information Technology, 1999

Cross-fertilization between evolutionary computation and DNA-based computing.

[BibT_eX]

[DOI]

Joost N. Kok

Grzegorz Rozenberg

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

Generalizations of intermediate recombination in evolution strategies.

[BibT_eX]

[DOI]

Ágoston E. Eiben

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998

Robust design of multilayer optical coatings by means of evolutionary algorithms.

[BibT_eX]

[DOI]

Dirk Wiesmann

IEEE Trans. Evol. Comput., 1998

An Overview of Parameter Control Methods by Self-Adaption in Evolutionary Algorithms.

[BibT_eX]

[DOI]

Fundam. Informaticae, 1998

A Superior Evolutionary Algorithm for 3-SAT.

[BibT_eX]

[DOI]

Marco E. Vink

Proceedings of the Evolutionary Programming VII, 7th International Conference, 1998

1997

Evolutionary computation: comments on the history and current state.

[BibT_eX]

[DOI]

Hans-Paul Schwefel

IEEE Trans. Evol. Comput., 1997

Empirical Investigation of Multiparent Recombination Operators in Evolution Strategies.

[BibT_eX]

[DOI]

Evol. Comput., 1997

Evolutionary computation: Toward a new philosophy of machine intelligence.

[BibT_eX]

[DOI]

Complex., 1997

1996

Refueling of a Nuclear Power Plant: Comparison of a Naive and a Specialized Mutation Operator.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 1996

Modeling Urban Growth by Cellular Automata.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 1996

Intelligent Mutation Rate Control in Canonical Genetic Algorithms.

[BibT_eX]

[DOI]

Martin Schütz

Proceedings of the Foundations of Intelligent Systems, 9th International Symposium, 1996

Evolutionary Computation: An Overview.

[BibT_eX]

[DOI]

Hans-Paul Schwefel

Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

Evolutionary Algorithms Support Refueling of Pressurized Water Reactors.

[BibT_eX]

[DOI]

Proceedings of 1996 IEEE International Conference on Evolutionary Computation, 1996

Evolutionary algorithms in theory and practice - evolution strategies, evolutionary programming, genetic algorithms.

[BibT_eX]

Oxford University Press, ISBN: 978-0-19-509971-3, 1996

1995

Generalized Convergence Models for Tournament- and (mu, lambda)-Selection.

[BibT_eX]

Proceedings of the 6th International Conference on Genetic Algorithms, 1995

Evolution Strategies for Mixed-Integer Optimization of Optical Multilayer Systems.

[BibT_eX]

Martin Schütz

Proceedings of the Fourth Annual Conference on Evolutionary Programming, 1995

A Comparative Study of a Penalty Function, a Repair Heuristic and Stochastic Operators with the Set-Covering Problem.

[BibT_eX]

[DOI]

Martin Schütz

Proceedings of the Artificial Evolution, European Conference, 1995

Evolution Strategies: An Alternative Evolutionary Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Artificial Evolution, European Conference, 1995

1994

Evolutionary algorithms in theorie and practice.

[BibT_eX]

[DOI]

PhD thesis, 1994

Book Review: Proceedings of the Fifth International Conference on Genetic Algorithms.

[BibT_eX]

[DOI]

Evol. Comput., 1994

The zero/one multiple knapsack problem and genetic algorithms.

[BibT_eX]

[DOI]

Jörg Heitkötter

Proceedings of the 1994 ACM Symposium on Applied Computing, 1994

Evolution Strategies on Noisy Functions: How to Improve Convergence Properties.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 1994

Parallel Optimization of Evolutionary Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 1994

An Evolutionary Heuristic for the Maximum Independent Set Problem.

[BibT_eX]

[DOI]

Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

Evolution Strategies Applied to Perturbed Objective Functions.

[BibT_eX]

[DOI]

Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

Selective Pressure in Evolutionary Algorithms: A Characterization of Selection Mechanisms.

[BibT_eX]

[DOI]

Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

Order Statistics for Convergence Velocity Analysis of Simplified Evolutionary Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Third Workshop on Foundations of Genetic Algorithms. Estes Park, Colorado, USA, July 31, 1994

An Evolutionary Approach to Combinatorial Optimization Problems.

[BibT_eX]

[DOI]

Jörg Heitkötter

Proceedings of the ACM 22rd Annual Computer Science Conference on Scaling up: Meeting the Challenge of Complexity in Real-World Computing Applications, 1994

1993

An Overview of Evolutionary Algorithms for Parameter Optimization.

[BibT_eX]

[DOI]

Hans-Paul Schwefel

Evol. Comput., 1993

Optimal Mutation Rates in Genetic Search.

[BibT_eX]