Probability Matching-based Adaptive Strategy Selection vs. Uniform Strategy Selection within Differential Evolution: An Empirical Comparison on the BBOB-2010 Noiseless Testbed

Abstract : Different strategies can be used for the generation of new candidate solutions on the Differential Evolution algorithm. However, the definition of which of them should be applied to the problem at hand is not trivial, besides being a sensitive choice with relation to the algorithm performance. In this paper, we use the BBOB-2010 noiseless benchmarking suite to further empirically validate the Probability Matching-based Adaptive Strategy Selection (PMAdapSS-DE), a method proposed to automatically select the mutation strategy to be applied, based on the relative fitness improvements recently achieved by the application of each of the available strategies on the current optimization process. It is compared with what would be a timeless (naive) choice, the uniform strategy selection within the same sub-set of strategies.
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https://hal.inria.fr/inria-00494538
Contributor : Álvaro Fialho <>
Submitted on : Wednesday, June 23, 2010 - 3:05:53 PM
Last modification on : Monday, February 18, 2019 - 4:38:03 PM
Long-term archiving on: Friday, September 24, 2010 - 5:30:29 PM

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Álvaro Fialho, Wenyin Gong, Zhihua Cai. Probability Matching-based Adaptive Strategy Selection vs. Uniform Strategy Selection within Differential Evolution: An Empirical Comparison on the BBOB-2010 Noiseless Testbed. GECCO 2010 Workshop on Black-Box Optimization Benchmarking, Jul 2010, Portland, United States. ⟨inria-00494538⟩

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