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An evolutionary optimization framework for intelligent agents

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3 Author(s)
Leon, F. ; Autom. Control & Comput. Eng. Fac., Tech. Univ. "Gheorghe Asachi" of Iasi, Iasi, Romania ; Aignatoaiei, B.I. ; Leca, A.D.

Evolutionary algorithms have become popular in the recent years as a general, simple, and robust technique that can be used when other optimization methods cannot be applied. Presently, there are a number of evolutionary/genetic algorithm libraries publicly available; however, they are not specifically designed for multiagent systems. The framework described in this paper addresses this problem and presents a general architecture for evolutionary optimization aimed to be used by agents in a multiagent system implemented in the JADE framework inspired from the island model of parallel genetic algorithms. The characteristics of evolutionary algorithms that are more appropriate for use in a distributed, cooperative multiagent environment are also identified.

Published in:

System Theory, Control, and Computing (ICSTCC), 2011 15th International Conference on

Date of Conference:

14-16 Oct. 2011

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