Lamps : a test problem for cooperative coevolution

Abstract : We present an analysis of the behaviour of Cooperative Co-evolution algorithms (CCEAs) on a simple test problem, that is the optimal placement of a set of lamps in a square room, for various problems sizes. Cooperative Co-evolution makes it possible to exploit more efficiently the artificial Darwinism scheme, as soon as it is possible to turn the optimisation problem into a co-evolution of interdependent sub-parts of the searched solution. We show here how two cooperative strategies, Group Evolution (GE) and Parisian Evolution (PE) can be built for the lamps problem. An experimental analysis then compares a classical evolution to GE and PE, and analyses their behaviour with respect to scale.
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Chapitre d'ouvrage
Nature Inspired Cooperative Strategies for Optimization (NICSO 2011), 387, Springer Science + Business Media B.V., 2011, Studies in Computational Intelligence, 978-3-642-24093-5. <10.1007/978-3-642-24094-2_7>
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https://hal.archives-ouvertes.fr/hal-01374165
Contributeur : Archive Ouverte Prodinra <>
Soumis le : jeudi 29 septembre 2016 - 20:28:13
Dernière modification le : jeudi 9 février 2017 - 15:50:27

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Alberto Tonda, Evelyne Lutton, Giovanni Squillero. Lamps : a test problem for cooperative coevolution. Nature Inspired Cooperative Strategies for Optimization (NICSO 2011), 387, Springer Science + Business Media B.V., 2011, Studies in Computational Intelligence, 978-3-642-24093-5. <10.1007/978-3-642-24094-2_7>. <hal-01374165>

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