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Adaptive parent population sizing in evolution strategies
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LaPorte, G. Jake, Branke, Jürgen and Chen, Chun-Hung (2015) Adaptive parent population sizing in evolution strategies. Evolutionary Computation, 23 (3). pp. 397-420. doi:10.1162/EVCO_a_00136 ISSN 1063-6560.
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Official URL: http://dx.doi.org/10.1162/EVCO_a_00136
Abstract
Adaptive population sizing aims at improving the overall progress of an evolution strategy. At each generation, it determines the parental population size that promises the largest fitness gain, based on the information collected during the evolutionary process. In this paper, we develop an adaptive variant of a (μ/μ,λ) evolution strategy. Based on considerations on the sphere, we derive two approaches for adaptive population sizing. We then test these approaches empirically on the sphere model using a normalized mutation strength and cumulative mutation strength adaption. Finally, we compare the methodology on more general functions with a fixed population, covariance matrix adaption evolution strategy (CMA-ES). The results confirm that our adaptive population sizing methods yield better results than even the best fixed population size.
Item Type: | Journal Article | ||||||
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Divisions: | Faculty of Social Sciences > Warwick Business School > Operational Research & Management Sciences Faculty of Social Sciences > Warwick Business School |
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Journal or Publication Title: | Evolutionary Computation | ||||||
Publisher: | M I T Press | ||||||
ISSN: | 1063-6560 | ||||||
Official Date: | 2015 | ||||||
Dates: |
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Volume: | 23 | ||||||
Number: | 3 | ||||||
Number of Pages: | 24 | ||||||
Page Range: | pp. 397-420 | ||||||
DOI: | 10.1162/EVCO_a_00136 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access |
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