A new taxonomy of global optimization algorithms.
Nat. Comput., 2022
Elevator group control as a constrained multiobjective optimization problem.
Appl. Soft Comput., 2022
Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs.
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CoRR, 2021
Behavior-based neuroevolutionary training in reinforcement learning.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
Open Issues in Surrogate-Assisted Optimization.
Proceedings of the High-Performance Simulation-Based Optimization, 2020
CAAI - A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems.
CoRR, 2020
Understanding the Behavior of Reinforcement Learning Agents.
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2020
Surrogate models for enhancing the efficiency of neuroevolution in reinforcement learning.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Surrogates for hierarchical search spaces: the wedge-kernel and an automated analysis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019
Prediction of neural network performance by phenotypic modeling.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019
Improving NeuroEvolution Efficiency by Surrogate Model-Based Optimization with Phenotypic Distance Kernels.
Proceedings of the Applications of Evolutionary Computation, 2019
Bridging Theory and Practice Through Modular Graphical User Interfaces.
J. Multim. Process. Technol., 2018
A new Taxonomy of Continuous Global Optimization Algorithms.
CoRR, 2018
Distance-based Kernels for Surrogate Model-based Neuroevolution.
CoRR, 2018
Linear Combination of Distance Measures for Surrogate Models in Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018
Comparison of parallel surrogate-assisted optimization approaches.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018
Is social learning more than parameter tuning?
Proceedings of the Genetic and Evolutionary Computation Conference, 2017
Can social learning increase learning speed, performance or both?
Proceedings of the Fourteenth European Conference Artificial Life, 2017
Comparison of different Methods for Univariate Time Series Imputation in R.
CoRR, 2015
Distance Measures for Permutations in Combinatorial Efficient Global Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014
Efficient global optimization for combinatorial problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Tuning multi-objective optimization algorithms for cyclone dust separators.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Comparing Ensemble-Based Forecasting Methods for Smart-Metering Data.
Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013
SVM Ensembles Are Better When Different Kernel Types Are Combined.
Proceedings of the Data Science, 2013