Co-evolutionary Multi-agent System with Predator-Prey Mechanism for Multi-objective Optimization

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:
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
Year:
2007

Citing 4
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Abstract

Co-evolutionary techniques for evolutionary algorithms allow for the application of such algorithms to problems for which it is difficult or even impossible to formulate explicit fitness function. These techniques also maintain population diversity, allows for speciation and help overcoming limited adaptive capabilities of evolutionary algorithms. In this paper the idea of co-evolutionary multi-agent system with predator-prey mechanism for multi-objective optimizationis introduced. In presented system the Pareto frontier is located by the population of agents as a result of co-evolutionary interactions between two species: predators and prey. Results from runs of presented system against test problem and comparison to classical multi-objective evolutionary algorithms conclude the paper.