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- W2364692251 abstract "In order to increase the diversity of immune algorithm when solving global optimization problems, a novel immune evolutionary algorithm(IEA) is proposed. The main characteristics of IEA are clonal expansion and multiple-parent random receptor editor operators. In addition, a modified hypermutation operator is introduced to improve the learning ability of individuals. Particularly, a novel performance evaluation criterion is constructed, by which the performance of different algorithms can be compared easily. In the experimental study, the ratio of clonal expansion is determined, and the IEA is compared with fast clonal algorithm(FCA) and Opt-IMMALG. The results show that IEA is significantly better than FCA and Opt-IMMALG." @default.
- W2364692251 created "2016-06-24" @default.
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- W2364692251 date "2011-01-01" @default.
- W2364692251 modified "2023-09-26" @default.
- W2364692251 title "Novel immune evolutionary algorithm for global optimization" @default.
- W2364692251 hasPublicationYear "2011" @default.
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