Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
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Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Evolutionary Computation
Artificial Life
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Proceedings of the 10th annual conference on Genetic and evolutionary computation
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Niching techniques for evolutionary algorithms are aimed at maintaining the diversity through forming subpopulations (species) in multi-modal domains. Similar techniques may be applied to evolutionary multi-agent systems, which provide a decentralised model of evolution. In this paper a specific EMAS realisation is presented, in which the new species formation occurs as a result of co-evolutionary interactions between preexisting species. Experimental results aim at comparing the approach with a classical niching techniques and a basic EMAS implementation.