Hao Wang

Angel E. Rodriguez-Fernandez

CoRR, 2024

Optical next generation reservoir computing.

[BibT_eX]

[DOI]

CoRR, 2024

Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization.

[BibT_eX]

[DOI]

Kaifeng Yang

Michael Affenzeller

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Large-Scale Benchmarking of Metaphor-Based Optimization Heuristics.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Transfer Learning of Surrogate Models via Domain Affine Transformation.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Classification-based process parameter recommendation in sheet metal forming.

[BibT_eX]

[DOI]

J. Ind. Inf. Integr., August, 2023

Experimental Results for the study "The Hypervolume Newton Method for Constrained Multi-Objective Optimization Problems".

[BibT_eX]

[DOI]

Víctor Adrián Sosa-Hernández

André H. Deutz

Oliver Schütze

Dataset, January, 2023

Bayesian Optimization.

[BibT_eX]

[DOI]

Kaifeng Yang

Proceedings of the Many-Criteria Optimization and Decision Analysis: State-of-the-Art, 2023

Evolutionary Algorithms for Parameter Optimization - Thirty Years Later.

[BibT_eX]

[DOI]

Evol. Comput., 2023

On the Noise Scheduling for Generating Plausible Designs with Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Adversarial Latent Autoencoder with Self-Attention for Structural Image Synthesis.

[BibT_eX]

[DOI]

CoRR, 2023

Benchmarking Adaptive Quantum Circuit Optimization Algorithms for Quantum Chemistry.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

Application of quantum-inspired generative models to small molecular datasets.

[BibT_eX]

[DOI]

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

To Switch or Not to Switch: Predicting the Benefit of Switching Between Algorithms Based on Trajectory Features.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 26th European Conference, 2023

The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity.

[BibT_eX]

[DOI]

André H. Deutz

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022

To Switch or not to Switch: Predicting the Benefit of Switching between Algorithms based on Trajectory Features - Dataset.

[BibT_eX]

[DOI]

Dataset, October, 2022

Per-Run Algorithm Selection with Warm-starting using Trajectory-based Features - Data.

[BibT_eX]

[DOI]

Dataset, April, 2022

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

[BibT_eX]

[DOI]

Dataset, January, 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

Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 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

Per-run Algorithm Selection with Warm-Starting Using Trajectory-Based Features.

[BibT_eX]

[DOI]

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

High Dimensional Bayesian Optimization with Kernel Principal Component Analysis.

[BibT_eX]

[DOI]

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

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

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

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

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

[BibT_eX]

[DOI]

Jacob de Nobel

CoRR, 2021

Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization.

[BibT_eX]

[DOI]

Comput. Oper. Res., 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

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

Quantifying the impact of boundary constraint handling methods on differential evolution.

[BibT_eX]

[DOI]

Rick Boks

Anna V. Kononova

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

On Statistical Analysis of MOEAs with Multiple Performance Indicators.

[BibT_eX]

[DOI]

Carlos Ignacio Hernández Castellanos

Tome Eftimov

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

2020

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

[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

Víctor Adrián Sosa-Hernández

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

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

[BibT_eX]

[DOI]

Dataset, February, 2020

The Set-Based Hypervolume Newton Method for Bi-Objective Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2020

Squirrel: A Switching Hyperparameter Optimizer.

[BibT_eX]

[DOI]

Katharina Eggensperger

CoRR, 2020

IOHanalyzer: Performance Analysis for Iterative Optimization Heuristic.

[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

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

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

High Dimensional Bayesian Optimization Assisted by Principal Component Analysis.

[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

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

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

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

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

Mirrored Orthogonal Sampling for Covariance Matrix Adaptation Evolution Strategies.

[BibT_eX]

[DOI]

Evol. Comput., 2019

Search Dynamics on Multimodal Multiobjective Problems.

[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

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

[BibT_eX]

[DOI]

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 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

Bayesian performance analysis for black-box optimization benchmarking.

[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

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

Evolution Strategies.

[BibT_eX]

[DOI]

Ofer M. Shir

Proceedings of the Handbook of Heuristics., 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

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

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

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

Ranking empirical cumulative distribution functions using stochastic and pareto dominance.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 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

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

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

2016

Evolving the structure of Evolution Strategies.

[BibT_eX]

[DOI]

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

Towards Analyzing Multimodality of Continuous Multiobjective Landscapes.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

SMS-EMOA with multiple dynamic reference points.

[BibT_eX]

[DOI]

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

Fuzzy clustering for Optimally Weighted Cluster Kriging.

[BibT_eX]

[DOI]

Wojtek Kowalczyk

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

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

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A Multicriteria Generalization of Bayesian Global Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Stochastic and Deterministic Global Optimization., 2016

2015

On Steering Dominated Points in Hypervolume Indicator Gradient Ascent for Bi-Objective Optimization.

[BibT_eX]

[DOI]

Yiyi Ren

André H. Deutz

Proceedings of the NEO 2015, 2015

Optimally Weighted Cluster Kriging for Big Data Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Multi-point Efficient Global Optimization Using Niching Evolution Strategy.

[BibT_eX]

[DOI]

Proceedings of the EVOLVE, 2015

2014

Mirrored orthogonal sampling with pairwise selection in evolution strategies.

[BibT_eX]

[DOI]