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Sustainable Cooperative Coevolution with a Multi-Armed Bandit

François-Michel De Rainville, Michèle Sebag, Christian Gagné, Marc Schoenauer and Denis Laurendeau
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Abstract - We are proposing a self-adaptation mechanism to manage the resources allocated to the different species comprising a cooperative coevolutionary algorithm. The proposed approach relies on a dynamic extension to the well-known multi-armed bandit framework. At each iteration, the dynamic multi-armed bandit makes a decision on which species to evolve for a generation, using the history of progress made by the different species to guide the decisions. We show experimentally, on a benchmark and a real-world problem, that evolving the different populations at different paces allows not only to identify solutions more rapidly, but also improves the capacity of cooperative coevolution to solve more complex problems.

Bibtex:

@inproceedings{Rainville954,
author    = { François-Michel De Rainville and Michèle Sebag and Christian Gagné and Marc Schoenauer and Denis Laurendeau },
title     = { Sustainable Cooperative Coevolution with a Multi-Armed Bandit },
booktitle = { Proceedings of the Genetic and Evolutionary Computation Conference },
pages     = { 1--8 },
year      = { 2013 },
web       = { http://arxiv.org/abs/1304.3138 }
}

Dernière modification: 2013/04/10 par fmder1

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