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Dr. Michael Hellwig
Dr. Michael Hellwig
Vorarlberg University of Applied Sciences
Bestätigte E-Mail-Adresse bei fhv.at - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A matrix adaptation evolution strategy for constrained real-parameter optimization
M Hellwig, HG Beyer
2018 IEEE congress on evolutionary computation (CEC), 1-8, 2018
542018
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
412019
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
372018
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
302016
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
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
122020
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
112012
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
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
52017
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 a meta-ES on a conically constrained problem
M Hellwig, HG Beyer
Proceedings of the Genetic and Evolutionary Computation Conference, 673-681, 2019
42019
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
32018
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
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
22019
Steady state analysis of a multi-recombinative meta-ES on a conically constrained problem with comparison to σSA and CSA
P Spettel, HG Beyer, M Hellwig
Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic …, 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
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