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2010
Springer

Environment-Driven Embodied Evolution in a Population of Autonomous Agents

13 years 9 months ago
Environment-Driven Embodied Evolution in a Population of Autonomous Agents
This paper is concerned with a fixed-size population of autonomous agents facing unknown, possibly changing, environments. The motivation is to design an embodied evolutionary algorithm that can cope with the implicit fitness function hidden in the environment so as to provide adaptation in the long run at the level of the population. The proposed algorithm, termed mEDEA, is shown to be both efficient in unknown environment and robust with regards to abrupt, unpredicted, and possibly lethal changes in the environment.
Nicolas Bredeche, Jean-Marc Montanier
Added 14 Feb 2011
Updated 14 Feb 2011
Type Journal
Year 2010
Where PPSN
Authors Nicolas Bredeche, Jean-Marc Montanier
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