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GECCO
2007
Springer

Exploring selection mechanisms for an agent-based distributed evolutionary algorithm

9 years 8 months ago
Exploring selection mechanisms for an agent-based distributed evolutionary algorithm
In this paper we propose an agent-based model of evolutionary algorithms (EAs) which extends seamlessly from concurrent single-host to distributed multi-host installations. Since the model is based on locally executable selection, we focus on the comparison of two selection mechanisms which accomplish with such a restriction: the classical tournament method and a new one called autonomous selection. Using the latter method the population size changes during runtime, hence it is not only interesting as a new selection mechanism, but also from the perspective of scalable networks. Categories and Subject Descriptors I.2.8 [Computing Methodologies]: Artificial Intelligence— Problem Solving, Control Methods, and Search, Heuristic Methods ; C.2.4 [Computer Systems Organization]: COMPUTERCOMMUNICATION NETWORKS—Distributed Systems General Terms Algorithms Keywords self-adaptation, genetic algorithms, multi-agent systems, parallelization, performance analysis
A. E. Eiben, Marc Schoenauer, Juan Luís Jim
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where GECCO
Authors A. E. Eiben, Marc Schoenauer, Juan Luís Jiménez Laredo, Pedro A. Castillo Valdivieso, Antonio Miguel Mora, Juan J. Merelo Guervós
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