Cooperative Coevolutionary Methods

作者: Nicolás García-Pedrajas , César Hervás-Martínez , Domingo Ortiz-Boyer

DOI: 10.1007/0-387-33416-5_9

关键词: CoevolutionProcess (engineering)Evolutionary computationCooperative coevolutionArtificial intelligenceArtificial neural networkEvolutionary programmingModular designVariety (cybernetics)Computer science

摘要: This chapter presents a cooperative revolutionary model for evolving artificial neural networks. is based on the idea of coevolving subnetworks that must cooperate to form solution specific problem, instead complete The combination these part coevolutionary process. best combinations be evolved together with coevolution subnetworks. Several subpopulations coevolve cooperatively and genetically isolated. individuals every subpopulation are combined whole different approach from most current models evolutionary networks which try develop places as few restrictions possible over network structure, allowing reach wide variety architectures during evolution easily extensible other kind performance in solving ten real problems classification compared modular network, adaptive mixture experts, results reported literature.

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