Oliver Kramer

CoRR, 2024

Towards Explainable Evolution Strategies with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Models for Tuning Evolution Strategies.

[BibT_eX]

[DOI]

CoRR, 2024

Evolutionary Multi-objective Optimization of Large Language Model Prompts for Balancing Sentiments.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024

2023

Wind Power Prediction with ETSformer.

[BibT_eX]

[DOI]

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Enhancing Evolution Strategies with Evolution Path Bias.

[BibT_eX]

[DOI]

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

An evolutionary fragment-based approach to molecular fingerprint reconstruction.

[BibT_eX]

[DOI]

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

A Fast and Simple Evolution Strategy with Covariance Matrix Estimation.

[BibT_eX]

[DOI]

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Spatial Generation of Molecules with Transformers.

[BibT_eX]

[DOI]

Thomas Teusch

Proceedings of the International Joint Conference on Neural Networks, 2021

Transformers for Molecular Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

Evolutionary Deep Multi-Task Learning.

[BibT_eX]

[DOI]

Patrick Burke

Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020

Evolutionary Multi-objective Design of SARS-CoV-2 Protease Inhibitor Candidates.

[BibT_eX]

[DOI]

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

Earnings Prediction with Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the KI 2020: Advances in Artificial Intelligence, 2020

Learned Weight Sharing for Deep Multi-Task Learning by Natural Evolution Strategy and Stochastic Gradient Descent.

[BibT_eX]

[DOI]

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

Modeling H2O/Rutile-TiO2(110) Potential Energy Surfaces with Deep Networks.

[BibT_eX]

[DOI]

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

Adversarials-1 in Speech Recognition: Detection and Defence.

[BibT_eX]

[DOI]

Stefan Niewerth

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Learning Step Size Adaptation in Evolution Strategies.

[BibT_eX]

[DOI]

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

Tournament Selection Improves Cartesian Genetic Programming for Atari Games.

[BibT_eX]

[DOI]

Lars Elend

Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

2019

Acute Lymphoblastic Leukemia Classification from Microscopic Images using Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Self-Organizing Maps with Convolutional Layers.

[BibT_eX]

[DOI]

Lars Elend

Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Physical Adversarial Attacks by Projecting Perturbations.

[BibT_eX]

[DOI]

Hendrik Kahlen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Image Processing, 2019

Predictive Uncertainty Estimation with Temporal Convolutional Networks for Dynamic Evolutionary Optimization.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Evolution of Stacked Autoencoders.

[BibT_eX]

[DOI]

Tim Silhan

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Input quality aware convolutional LSTM networks for virtual marine sensors.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Lamarckian Evolution of Convolutional Neural Networks.

[BibT_eX]

[DOI]

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

Limited Evaluation Evolutionary Optimization of Large Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

Knowledge Sharing for Population Based Neural Network Training.

[BibT_eX]

[DOI]

Proceedings of the KI 2018: Advances in Artificial Intelligence, 2018

Adversarials <sup>-1</sup>: Defending by Attacking.

[BibT_eX]

[DOI]

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

Multi-label Classification of Surgical Tools with Convolutional Neural Networks.

[BibT_eX]

[DOI]

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

Dimensionality Reduction with Evolutionary Shephard-Kruskal Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods, 2018

Direct Training of Dynamic Observation Noise with UMarineNet.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Predicting Read- and Write-Operation Availabilities of Quorum Protocols based on Graph Properties.

[BibT_eX]

[DOI]

Robert Schadek

Oliver E. Theel

Proceedings of the 10th International Conference on Agents and Artificial Intelligence, 2018

Recurrent neural network-predictions for PSO in dynamic optimization.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Prediction with Recurrent Neural Networks in Evolutionary Dynamic Optimization.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation, 2018

Evolution of Convolutional Highway Networks.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation, 2018

Properties of adv-1 - Adversarials of Adversarials.

[BibT_eX]

[DOI]

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2017

Genetic Algorithm Essentials

[BibT_eX]

[DOI]

Studies in Computational Intelligence 679, Springer, ISBN: 978-3-319-52156-5, 2017

Finite life span for improving the selection scheme in evolution strategies.

[BibT_eX]

[DOI]

Ali Ahrari

Soft Comput., 2017

An Experimental Study of Dimensionality Reduction Methods.

[BibT_eX]

[DOI]

Proceedings of the KI 2017: Advances in Artificial Intelligence, 2017

Evolving Kernel PCA Pipelines with Evolution Strategies.

[BibT_eX]

[DOI]

Proceedings of the KI 2017: Advances in Artificial Intelligence, 2017

Recurrent neural networks and exponential PAA for virtual marine sensors.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Manifold learning with iterative dimensionality photo-projection.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Spatio-Temporal Wind Power Prediction Using Recurrent Neural Networks.

[BibT_eX]

[DOI]

Wei Lee Woon

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Preferences-Based Choice Prediction in Evolutionary Multi-objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

2016

Statistical Learning for Short-Term Photovoltaic Power Predictions.

[BibT_eX]

[DOI]

Björn Wolff

Elke Lorenz

Proceedings of the Computational Sustainability, 2016

Wind Power Prediction with Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Computational Sustainability, 2016

Dimensionality Reduction Hybridizations with Multi-dimensional Scaling.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2016

Selection of Numerical Weather Forecast Features for PV Power Predictions with Random Forests.

[BibT_eX]

[DOI]

Björn Wolff

Detlev Heinemann

Proceedings of the Data Analytics for Renewable Energy Integration, 2016

Evolutionary Multi-objective Ensembles for Wind Power Prediction.

[BibT_eX]

[DOI]

Proceedings of the Data Analytics for Renewable Energy Integration, 2016

Enhanced SVR ensembles for wind power prediction.

[BibT_eX]

[DOI]

Wei Lee Woon

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

kNN ensembles with penalized DTW for multivariate time series imputation.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Generalized cascade classification model with customized transformation based ensembles.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Instance Selection and Outlier Generation to Improve the Cascade Classifier Precision.

[BibT_eX]

[DOI]

Judith Neugebauer

Proceedings of the Agents and Artificial Intelligence - 8th International Conference, 2016

Improving Cascade Classifier Precision by Instance Selection and Outlier Generation.

[BibT_eX]

[DOI]

Judith Neugebauer

Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016

Local Fitness Meta-Models with Nearest Neighbor Regression.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 19th European Conference, 2016

Tackling Common Due Window Problem with a Two-Layered Approach.

[BibT_eX]

[DOI]

Proceedings of the Combinatorial Optimization and Applications, 2016

Constrained evolutionary wind turbine placement with penalty functions.

[BibT_eX]

[DOI]

Markus Wagner

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Unsupervised nearest neighbor regression for dimensionality reduction.

[BibT_eX]

[DOI]

Soft Comput., 2015

Non-intrusive appliance load monitoring with bagging classifiers.

[BibT_eX]

[DOI]

Log. J. IGPL, 2015

Cascade Support Vector Machines with Dimensionality Reduction.

[BibT_eX]

[DOI]

Appl. Comput. Intell. Soft Comput., 2015

Classification Cascades of Overlapping Feature Ensembles for Energy Time Series Data.

[BibT_eX]

[DOI]

Judith Neugebauer

Proceedings of the Data Analytics for Renewable Energy Integration, 2015

Simulated Annealing With Parameter Tuning for Wind Turbine Placement Optimization.

[BibT_eX]

[DOI]

Manfred Weisensee

Proceedings of the LWA 2015 Workshops: KDML, 2015

Event Detection in Marine Time Series Data.

[BibT_eX]

[DOI]

Proceedings of the KI 2015: Advances in Artificial Intelligence, 2015

Short-Term Wind Power Prediction with Combination of Speed and Power Time Series.

[BibT_eX]

[DOI]

Proceedings of the KI 2015: Advances in Artificial Intelligence, 2015

Dimensionality reduction in continuous evolutionary optimization.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Resilient Propagation for Multivariate Wind Power Prediction.

[BibT_eX]

Jannes Stubbemann

Proceedings of the ICPRAM 2015, 2015

Un-restricted Common Due-Date Problem with Controllable Processing Times - Linear Algorithm for a Given Job Sequence.

[BibT_eX]

[DOI]

Proceedings of the ICEIS 2015, 2015

On Evolutionary Approaches to Wind Turbine Placement with Geo-Constraints.

[BibT_eX]

[DOI]

Markus Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Analysis of Diversity Methods for Evolutionary Multi-objective Ensemble Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

Alternating Optimization of Unsupervised Regression with Evolutionary Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

Hybrid Manifold Clustering with Evolutionary Tuning.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 18th European Conference, 2015

Comparison of Numerical Models and Statistical Learning for Wind Speed Prediction.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Supervised Manifold Learning with Incremental Stochastic Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Evolutionary feature weighting for wind power prediction with nearest neighbor regression.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Visualization of evolutionary runs with isometric mapping.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Evolution strategies with Ledoit-Wolf covariance matrix estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2015

On Heterogeneous Machine Learning Ensembles for Wind Power Prediction.

[BibT_eX]

[DOI]

Proceedings of the Computational Sustainability, 2015

2014

Energieinformatik - Aktuelle und zukünftige Forschungsschwerpunkte.

[BibT_eX]

[DOI]

Wirtschaftsinf., 2014

On Unsupervised Training of Multi-Class Regularized Least-Squares Classifiers.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2014

Fast and simple gradient-based optimization for semi-supervised support vector machines.

[BibT_eX]

[DOI]

Neurocomputing, 2014

A Novel Approach to the Common Due-Date Problem on Single and Parallel Machines.

[BibT_eX]

[DOI]

CoRR, 2014

Energy Informatics - Current and Future Research Directions.

[BibT_eX]

[DOI]

Bus. Inf. Syst. Eng., 2014

KNN Regression as Geo-Imputation Method for Spatio-Temporal Wind Data.

[BibT_eX]

[DOI]

Jendrik Poloczek

Proceedings of the International Joint Conference SOCO'14-CISIS'14-ICEUTE'14, 2014

A Framework for Data Mining in Wind Power Time Series.

[BibT_eX]

[DOI]

Proceedings of the Data Analytics for Renewable Energy Integration, 2014

Activity Recognition Using Non-intrusive Appliance Load Monitoring.

[BibT_eX]

[DOI]

Proceedings of the PECCS 2014, 2014

Evolutionary Turbine Selection for Wind Power Predictions.

[BibT_eX]

[DOI]

Proceedings of the KI 2014: Advances in Artificial Intelligence, 2014

Multi-stage Constraint Surrogate Models for Evolution Strategies.

[BibT_eX]

[DOI]

Jendrik Poloczek

Proceedings of the KI 2014: Advances in Artificial Intelligence, 2014

Leaving Local Optima in Unsupervised Kernel Regression.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Precise Wind Power Prediction with SVM Ensemble Regression.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

Wind Power Ramp Event Prediction with Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

A variable kernel function for hybrid unsupervised kernel regression.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Wind Power Prediction with Cross-Correlation Weighted Nearest Neighbors.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Informatics for Environmental Protection: ICT for Energy Effieciency, 2014

An Evolutionary Approach to Geo-Planning of Renewable Energies.

[BibT_eX]

[DOI]

Manfred Weisensee

Proceedings of the 28th International Conference on Informatics for Environmental Protection: ICT for Energy Effieciency, 2014

Common Due-Date Problem: Linear Algorithm for a Given Job Sequence.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

Common Due-Window problem: Polynomial algorithms for a given processing sequence.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, 2014

A Brief Introduction to Continuous Evolutionary Optimization.

[BibT_eX]

[DOI]

SpringerBriefs in Applied Sciences and Technology, Springer, ISBN: 978-3-319-03422-5, 2014

2013

Dimensionality Reduction with Unsupervised Nearest Neighbors

[BibT_eX]

[DOI]

Intelligent Systems Reference Library 51, Springer, ISBN: 978-3-642-38651-0, 2013

Goal distance estimation for automated planning using neural networks and support vector machines.

[BibT_eX]

[DOI]

Nat. Comput., 2013

Wind energy prediction and monitoring with neural computation.

[BibT_eX]

[DOI]

Neurocomputing, 2013

Learning morphological maps of galaxies with unsupervised regression.

[BibT_eX]

[DOI]

Kai Lars Polsterer

Expert Syst. Appl., 2013

Aircraft Landing Problem: Efficient Algorithm for a Given Landing Sequence.

[BibT_eX]

[DOI]

CoRR, 2013

Common Due-Date Problem: Exact Polynomial Algorithms for a Given Job Sequence.

[BibT_eX]

[DOI]

Proceedings of the 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2013

Local SVM Constraint Surrogate Models for Self-adaptive Evolution Strategies.

[BibT_eX]

[DOI]

Jendrik Poloczek

Proceedings of the KI 2013: Advances in Artificial Intelligence, 2013

On Mutation Rate Tuning and Control for the (1+1)-EA.

[BibT_eX]

[DOI]

Proceedings of the KI 2013: Advances in Artificial Intelligence, 2013

On GPU-Based Nearest Neighbor Queries for Large-Scale Photometric Catalogs in Astronomy.

[BibT_eX]

[DOI]

Proceedings of the KI 2013: Advances in Artificial Intelligence, 2013

Fast Submanifold Learning with Unsupervised Nearest Neighbors.

[BibT_eX]

[DOI]

Proceedings of the Adaptive and Natural Computing Algorithms, 2013

On Missing Data Hybridizations for Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Metaheuristics - 8th International Workshop, 2013

Towards Non-linear Constraint Estimation for Expensive Optimization.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

Support Vector Machines for Wind Energy Prediction in Smart Grids.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Environmental Informatics for Environmental Protection, 2013

Aircraft Landing Problem: An Efficient Algorithm for a Given Landing Sequence.

[BibT_eX]

[DOI]

Proceedings of the 16th IEEE International Conference on Computational Science and Engineering, 2013

An adaptive penalty function with meta-modeling for constrained problems.

[BibT_eX]

[DOI]

Uli Schlachter

Valentin Spreckels

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Evolutionary kernel machines.

[BibT_eX]

[DOI]

Christian Igel

Günter Rudolph

Evol. Intell., 2012

Efficient recurrent local search strategies for semi- and unsupervised regularized least-squares classification.

[BibT_eX]

[DOI]

Evol. Intell., 2012

Evolutionary kernel density regression.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2012

Unsupervised Nearest Neighbors with Kernels.

[BibT_eX]

[DOI]

Proceedings of the KI 2012: Advances in Artificial Intelligence, 2012

Sparse Quasi-Newton Optimization for Semi-supervised Support Vector Machines.

[BibT_eX]

Proceedings of the ICPRAM 2012, 2012

Unsupervised Multi-class Regularized Least-Squares Classification.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Sorting High-Dimensional Patterns with Unsupervised Nearest Neighbors.

[BibT_eX]

[DOI]

Proceedings of the Agents and Artificial Intelligence - 4th International Conference, 2012

On Unsupervised Nearest-neighbor Regression and Robust Loss Functions.

[BibT_eX]

Proceedings of the ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence, Volume 1, 2012

On Ensemble Classifiers for Nonintrusive Appliance Load Monitoring.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

On Evolutionary Approaches to Unsupervised Nearest Neighbor Regression.

[BibT_eX]

[DOI]

Proceedings of the Applications of Evolutionary Computation, 2012

A Particle Swarm Embedding Algorithm for Nonlinear Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the Swarm Intelligence - 8th International Conference, 2012

2011

Derivative-Free Optimization.

[BibT_eX]

[DOI]

David Echeverría Ciaurri

Slawomir Koziel

Proceedings of the Computational Optimization, Methods and Algorithms, 2011

On Machine Symbol Grounding and Optimization.

[BibT_eX]

[DOI]

Int. J. Cogn. Informatics Nat. Intell., 2011

A Clustering-Based Niching Framework for the Approximation of Equivalent Pareto-Subsets.

[BibT_eX]

[DOI]

Holger Danielsiek

Int. J. Comput. Intell. Appl., 2011

Unsupervised K-Nearest Neighbor Regression

[BibT_eX]

[DOI]

CoRR, 2011

Short-Term Wind Energy Forecasting Using Support Vector Regression.

[BibT_eX]

[DOI]

Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2011

Hierarchically Structured Energy Markets as Novel Smart Grid Control Approach.

[BibT_eX]

[DOI]

Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011

Variance Scaling for EDAs Revisited.

[BibT_eX]

[DOI]

Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011

Speedy Local Search for Semi-Supervised Regularized Least-Squares.

[BibT_eX]

[DOI]

Proceedings of the KI 2011: Advances in Artificial Intelligence, 2011

Self-Stabilization in Hierarchically Structured Energy Markets.

[BibT_eX]

[DOI]

Proceedings of the Eighth International Conference on Information Technology: New Generations, 2011

Analysis of wind energy time series with kernel methods and neural networks.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Natural Computation, 2011

Dimensionality Reduction by Unsupervised K-Nearest Neighbor Regression.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Monitoring of multivariate wind resources with self-organizing maps and slow feature analysis.

[BibT_eX]

[DOI]

Tobias Hein

Proceedings of the IEEE Symposium on Computational Intelligence Applications In Smart Grid, 2011

2010

Iterated local search with Powell's method: a memetic algorithm for continuous global optimization.

[BibT_eX]

[DOI]

Memetic Comput., 2010

Covariance Matrix Self-Adaptation and Kernel Regression - Perspectives of Evolutionary Optimization in Kernel Machines.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2010

Evolutionary self-adaptation: a survey of operators and strategy parameters.

[BibT_eX]

[DOI]

Evol. Intell., 2010

A Review of Constraint-Handling Techniques for Evolution Strategies.

[BibT_eX]

[DOI]

Appl. Comput. Intell. Soft Comput., 2010

Theory and Applications of Evolutionary Computation.

[BibT_eX]

[DOI]

Tzung-Pei Hong

Chuan-Kang Ting

Appl. Comput. Intell. Soft Comput., 2010

Acceleration of DBSCAN-Based Clustering with Reduced Neighborhood Evaluations.

[BibT_eX]

[DOI]

Andreas Thom

Proceedings of the KI 2010: Advances in Artificial Intelligence, 2010

Recognition and Visualization of Music Sequences Using Self-organizing Feature Maps.

[BibT_eX]

[DOI]

Tobias Hein

Proceedings of the KI 2010: Advances in Artificial Intelligence, 2010

Detecting Quasars in Large-Scale Astronomical Surveys.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

Adaptive Heuristic Estimates for Automated Planning Using Regression.

[BibT_eX]

Proceedings of the 2010 International Conference on Artificial Intelligence, 2010

Recognition of Manual Actions Using Vector Quantization and Dynamic Time Warping.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Power Prediction in Smart Grids with Evolutionary Local Kernel Regression.

[BibT_eX]

[DOI]

Proceedings of the Hybrid Artificial Intelligence Systems, 5th International Conference, 2010

Managing Energy in a Virtual Power Plant Using Learning Classifier Systems.

[BibT_eX]

Proceedings of the 2010 International Conference on Genetic and Evolutionary Methods, 2010

DBSCAN-based multi-objective niching to approximate equivalent pareto-subsets.

[BibT_eX]

[DOI]

Holger Danielsiek

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Learning the track and planning ahead in a car racing controller.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games, 2010

2009

Rake Selection: A Novel Evolutionary Multi-Objective Optimization Algorithm.

[BibT_eX]

[DOI]

Patrick Koch

Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009

Stochastic Feature Selection in Support Vector Machine Based Instrument Recognition.

[BibT_eX]

[DOI]

Tobias Hein

Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009

Surrogate Constraint Functions for CMA Evolution Strategies.

[BibT_eX]

[DOI]

André Barthelmes

Günter Rudolph

Proceedings of the KI 2009: Advances in Artificial Intelligence, 2009

Fast evolutionary maximum margin clustering.

[BibT_eX]

[DOI]

Tapio Pahikkala

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Fast Blackbox Optimization: Iterated Local Search and the Strategy of Powell.

[BibT_eX]

Proceedings of the 2009 International Conference on Genetic and Evolutionary Methods, 2009

Modeling evolutionary fitness for DNA motif discovery.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

On the hybridization of SMS-EMOA and local search for continuous multiobjective optimization.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Computational Intelligence - Eine Einführung.

[BibT_eX]

[DOI]

Informatik im Fokus, Springer, ISBN: 978-3-540-79738-8, 2009

2008

Self-Adaptive Heuristics for Evolutionary Computation

[BibT_eX]

[DOI]

Studies in Computational Intelligence 147, Springer, ISBN: 978-3-540-69281-2, 2008

Premature Convergence in Constrained Continuous Search Spaces.

[BibT_eX]

[DOI]

Proceedings of the Parallel Problem Solving from Nature, 2008

Self-Adaptive Inversion Mutation for Combinatorial Representations.

[BibT_eX]

Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, 2008

2007

Self-adaptive partially mapped crossover.

[BibT_eX]

[DOI]

Patrick Koch

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

An experimental analysis of evolution strategies and particle swarm optimisers using design of experiments.

[BibT_eX]

[DOI]

Bartek Gloger

Andreas Goebels

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Sex and death: towards biologically inspired heuristics for constraint handling.

[BibT_eX]

[DOI]

Stephan Brügger

Dejan Lazovic

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

2006

On three new approaches to handle constraints within evolution strategies.

[BibT_eX]

[DOI]

Hans-Paul Schwefel

Nat. Comput., 2006

AI and Music: Toward a Taxonomy of Problem Classes.

[BibT_eX]

Benno Stein

Jürgen Wall

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

Evolution of Human-Competitive Agents in Modern Computer Games.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005

Evolution of Reactive Rules in Multi Player Computer Games Based on Imitation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Natural Computation, First International Conference, 2005

A mutation operator for evolution strategies to handle constrained problems.

[BibT_eX]

[DOI]

Chuan-Kang Ting

Hans Kleine Büning

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

A new mutation operator for evolution strategies for constrained problems.

[BibT_eX]

[DOI]