DocumentCode
342652
Title
Some observations on the interaction of recombination and self-adaptation in evolution strategies
Author
Gruenz, Lothar ; Beyer, Hans-Georg
Author_Institution
LS fur Fertigungsvorbereitung, Univ. Dortmund, Germany
Volume
1
fYear
1999
fDate
1999
Abstract
The performance of the multirecombinant (μ/μ, λ)-evolution strategy (ES) with σ-self-adaptation (σSA) is investigated on the sphere model. The investigation includes the computation of the maximal performance of an ES using recombination can reach when the mutation strength is optimally adjusted during the whole evolution. The comparison between the strategies with and without σSA shows that SA (self-adaptation) is not always able to drive the ES in its optimal working regime, although it still guarantees linear convergence order. The static and dynamic aspects of SA are discussed and it is shown that the learning parameter has a sensible influence on the progress rate
Keywords
convergence of numerical methods; evolutionary computation; learning (artificial intelligence); self-adjusting systems; σ-self-adaptation; dynamic aspects; learning parameter; linear convergence order; maximal performance computation; multirecombinant evolution strategy; mutation strength; optimal working regime; progress rate; recombination; sphere model; static aspects; Computational modeling; Convergence; Electronic switching systems; Genetic mutations; Performance loss; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
Conference_Location
Washington, DC
Print_ISBN
0-7803-5536-9
Type
conf
DOI
10.1109/CEC.1999.781992
Filename
781992
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