Comparison of Selection Methods in On-line Distributed Evolutionary Robotics - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2014

Comparison of Selection Methods in On-line Distributed Evolutionary Robotics

Iñaki Fernández Pérez
  • Function : Author
  • PersonId : 962091
  • IdRef : 224240293
Amine Boumaza
  • Function : Author
  • PersonId : 950736

Abstract

In this paper, we study the impact of selection methods in the context of on-line on-board distributed evolutionary algorithms. We propose a variant of the mEDEA algorithm in which we add a selection operator, and we apply it in a taskdriven scenario. We evaluate four selection methods that induce different intensity of selection pressure in a multi-robot navigation with obstacle avoidance task and a collective foraging task. Experiments show that a small intensity of selection pressure is sufficient to rapidly obtain good performances on the tasks at hand. We introduce different measures to compare the selection methods, and show that the higher the selection pressure, the better the performances obtained, especially for the more challenging food foraging task.
Fichier principal
Vignette du fichier
article.pdf (206.21 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01091119 , version 1 (05-12-2014)

Identifiers

Cite

Iñaki Fernández Pérez, Amine Boumaza, François Charpillet. Comparison of Selection Methods in On-line Distributed Evolutionary Robotics. ALIFE 14: The fourteenth international conference on the synthesis and simulation of living systems, Jul 2014, New York, United States. ⟨10.7551/978-0-262-32621-6-ch046⟩. ⟨hal-01091119⟩
196 View
96 Download

Altmetric

Share

More