By using the clonal selection echanism of the immune system , a method for function optimizing is proposed. The character of this algorithm is not only the antibodies evolution , but also a mutation vectors set is built for cooperative co2evolution to breed and reproduce successful mutation steps. The simulation result s show that this algorithm can converge to the global optimum at quicker rate in a given range.

变异协同进化的免疫克隆算法.pdf

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