Multi-objective optimization using co-evolutionary multi-agent system with host-parasite mechanism

Authors:
Rafał Dreżewski;Leszek Siwik
Affiliations:
Department of Computer Science, AGH University of Science and Technology, Kraków, Poland;Department of Computer Science, AGH University of Science and Technology, Kraków, Poland
Venue:
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Year:
2006

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Abstract

Co-evolutionary techniques for evolutionary algorithms are aimed at overcoming their limited adaptive capabilities and allow for the application of such algorithms to problems for which it is difficult or even impossible to formulate explicit fitness function. In this paper the idea of co-evolutionary multi-agent system with host-parasite mechanism for multi-objective optimization is introduced. In presented system the Pareto frontier is located by the population of agents as a result of co-evolutionary interactions between species. Also, results from runs of presented system against test functions are presented.