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- W2392502425 abstract "Artificial immune system(AIS) was introduced to the estimation of distribution algorithms(EDAs) and a hybrid UMDA based on the clonal selection principle was proposed in order to improve the performance of univariate marginal distribution algorithm(UMDA) to solve difficult optimal problems.In each generation during the evolution,the clonal selection algorithm(CLONALG) was implemented.The local search capability was improved through hypermutation process.Simulation results on two different traveling salesman problems(TSP) show that the proposed algorithm has higher optimal performance than that of the UMDA and the CLONALG as well as the UMDA combining with 2-opt local search(UMDA2-opt),respectively." @default.
- W2392502425 created "2016-06-24" @default.
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- W2392502425 date "2007-01-01" @default.
- W2392502425 modified "2023-09-23" @default.
- W2392502425 title "Hybrid univariate marginal distribution algorithm based on clonal selection principle" @default.
- W2392502425 hasPublicationYear "2007" @default.
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