Title :
The Application of Agent-Based Co-Evolutionary System with Predator-Prey Interactions to Solving Multi-Objective Optimization Problems
Author :
Rafal Drezewski;Leszek Siwik
Author_Institution :
Department of Computer Science, The School of Banking and Management, Krak?w, Poland
fDate :
4/1/2007 12:00:00 AM
Abstract :
The realization of co- evolutionary interactions in evolutionary algorithms results in increased population diversity and speciation. General model of co-evolution in multi-agent system allows for modeling and realization of agent-based co-evolutionary systems in which many species and sexes may exist and interact. In this paper one exemplary agent-based system with predator-prey mechanism is presented. The results from experiments with various multi-objective test problems conclude the paper
Keywords :
"Decision making","Evolutionary computation","Multiagent systems","Humans","Computational modeling","Computational intelligence","Testing","Game theory","Pareto optimization"
Conference_Titel :
Computational Intelligence in Multicriteria Decision Making, IEEE Symposium on
Print_ISBN :
1-4244-0702-8
DOI :
10.1109/MCDM.2007.369104
