Introducing Weighted Intermediate Recombination in On-line Collective Robotics, the (µ/µ W , 1)-On-line EEA - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2019

Introducing Weighted Intermediate Recombination in On-line Collective Robotics, the (µ/µ W , 1)-On-line EEA

Abstract

Weighted intermediate recombination has been proven very useful in evolution strategies. We propose here to use it in the case of on-line embodied evolutionary algorithms. With this recombination scheme, solutions at the local populations are recombined using a weighted average that favors fitter solutions to produce a new solution. We describe the newly proposed algorithm which we dubbed (µ/µW, 1)-On-line EEA, and assess it performance on two swarm robotics benchmarks while comparing the results to other existing algorithms. The experiments show that the recombination scheme is very beneficial on these problems.
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Dates and versions

hal-02185694 , version 1 (16-07-2019)

Identifiers

  • HAL Id : hal-02185694 , version 1

Cite

Amine Boumaza. Introducing Weighted Intermediate Recombination in On-line Collective Robotics, the (µ/µ W , 1)-On-line EEA. Applications of Evolutionary Computation, Apr 2019, Leipzig, Germany. ⟨hal-02185694⟩
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