Niching methods for genetic algorithms
Niching methods for genetic algorithms
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Multi-Objective Optimization Using Evolutionary Algorithms
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Proceedings of the 5th International Conference on Genetic Algorithms
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PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Multiobjective evolutionary algorithms: classifications, analyses, and new innovations
Multiobjective evolutionary algorithms: classifications, analyses, and new innovations
Muiltiobjective optimization using nondominated sorting in genetic algorithms
Evolutionary Computation
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Evolutionary Computation
A real-coded predator-prey genetic algorithm for multiobjective optimization
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
A model of co-evolution in multi-agent system
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
Multi-objective optimization using co-evolutionary multi-agent system with host-parasite mechanism
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
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The loss of population diversity is one of the main problems in some applications of evolutionary algorithms. In order to maintain useful population diversity some special techniques must be used, like niching or co-evolutionary mechanisms. In this paper the mechanisms for maintaining population diversity in agent-based multi-objective (co-)evolutionary algorithms are proposed. The presentation of techniques is accompanied by the results of experiments and comparisons to "classical" evolutionary multi-objective algorithms.