Követés
Dr. Michael Hellwig
Dr. Michael Hellwig
Vorarlberg University of Applied Sciences
E-mail megerősítve itt: fhv.at - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
A matrix adaptation evolution strategy for constrained real-parameter optimization
M Hellwig, HG Beyer
2018 IEEE congress on evolutionary computation (CEC), 1-8, 2018
482018
Benchmarking evolutionary algorithms for single objective real-valued constrained optimization–a critical review
M Hellwig, HG Beyer
Swarm and evolutionary computation 44, 927-944, 2019
372019
A covariance matrix self-adaptation evolution strategy for optimization under linear constraints
P Spettel, HG Beyer, M Hellwig
IEEE Transactions on Evolutionary Computation 23 (3), 514-524, 2018
342018
Evolution Under Strong Noise: A Self-Adaptive Evolution Strategy Can Reach the Lower Performance Bound-The pcCMSA-ES
M Hellwig, HG Beyer
International Conference on Parallel Problem Solving from Nature, 26-36, 2016
292016
The dynamics of cumulative step size adaptation on the ellipsoid model
HG Beyer, M Hellwig
Evolutionary computation 24 (1), 25-57, 2016
172016
Comparison of constraint-handling mechanisms for the (1,λ)-ES on a simple constrained problem
M Hellwig, DV Arnold
Evolutionary computation 24 (1), 1-23, 2016
162016
Mutation strength control by Meta-ES on the sharp ridge
HG Beyer, M Hellwig
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012
102012
A modified matrix adaptation evolution strategy with restarts for constrained real-world problems
M Hellwig, HG Beyer
2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020
92020
Mutation strength control via meta evolution strategies on the ellipsoid model
M Hellwig, HG Beyer
Theoretical Computer Science 623, 160-179, 2016
82016
On the optimization of 2D path network layouts in engineering designs via evolutionary computation techniques
AC Zăvoianu, S Saminger-Platz, D Entner, T Prante, M Hellwig, ...
Evolutionary and Deterministic Methods for Design Optimization and Control …, 2019
72019
On the Steady State Analysis of Covariance Matrix Self-Adaptation Evolution Strategies on the Noisy Ellipsoid Model
M Hellwig, HG Beyer
Theoretical Computer Science, 2018
62018
Optimization of ascent assembly design based on a combinatorial problem representation
M Hellwig, D Entner, T Prante, AC Zăvoianu, M Schwarz, K Fink
Evolutionary and deterministic methods for design optimization and control …, 2019
52019
Controlling population size and mutation strength by meta-es under fitness noise
HG Beyer, M Hellwig
Proceedings of the twelfth workshop on Foundations of genetic algorithms XII …, 2013
52013
Analysis of the pcCMSA-ES on the noisy ellipsoid model
HG Beyer, M Hellwig
Proceedings of the Genetic and Evolutionary Computation Conference, 689-696, 2017
42017
Analysis of a meta-ES on a conically constrained problem
M Hellwig, HG Beyer
Proceedings of the Genetic and Evolutionary Computation Conference, 673-681, 2019
32019
Multi-Objective Optimal Design of Variably Constrained 2D Path Network Layouts with Application to Ascent Assembly Engineering
AC Zavoianu, S Saminger-Platz, D Entner, T Prante, M Hellwig, ...
Journal of Mechanical Design 140 (6), 061401-061401-11, 2018
3*2018
A linear constrained optimization benchmark for probabilistic search algorithms: the rotated Klee-Minty problem
M Hellwig, HG Beyer
International Conference on Theory and Practice of Natural Computing, 139-151, 2018
22018
Comparison of contemporary evolutionary algorithms on the rotated klee-minty problem
M Hellwig, P Spettel, HG Beyer
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2019
12019
Analysis of mutation strength adaptation within evolution strategies on the ellipsoid model and methods for the treatment of fitness noise
M Hellwig
Dissertation, Ulm, Universität Ulm, 2017, 2017
12017
Benchmarking ϵMAg-ES and BP-ϵMAg-ES on the bbob-constrained testbed
M Hellwig, HG Beyer
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
2022
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