Qualms Regarding the Optimality of Cumulative Path Length Control in CSA/CMA-Evolution Strategies

Author:

Beyer Hans-Georg1,Arnold Dirk V.1

Affiliation:

1. Department of Computer Science XI, University of Dortmund, D-44221 Dortmund, Germany

Abstract

Cumulative step-size adaptation (CSA) based on path length control is regarded as a robust alternative to the standard mutative self-adaptation technique in evolution strategies (ES), guaranteeing an almost optimal control of the mutation operator. This paper shows that the underlying basic assumption in CSA — the perpendicularity of expected consecutive steps — does not necessarily guarantee optimal progress performance for (μ/μIλ) intermediate recombinative ES

Publisher

MIT Press - Journals

Subject

Computational Mathematics

Cited by 24 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On the steady state analysis of covariance matrix self-adaptation evolution strategies on the noisy ellipsoid model;Theoretical Computer Science;2020-09

2. Evolution strategies for continuous optimization: A survey of the state-of-the-art;Swarm and Evolutionary Computation;2020-08

3. Heuristic Search Strategies for Noisy Optimization;Lecture Notes in Computer Science;2020

4. Mutation Based on Directional Distributions;Stable Mutations for Evolutionary Algorithms;2018-09-22

5. Introduction;Stable Mutations for Evolutionary Algorithms;2018-09-22

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