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- W2372202113 abstract "A revised immune colonial selection algorithm is put forward to resolve the problems arising from the Castro colonial selection algorithm,such as experience dependency in the confirmation of population size,weak multi-peak search capability,long training period,etc.This new algorithm,based on real coding and self-adapting zoom and variation,is able to confirm population size under dynamic mode and find global optimum and local extremes as many as possible with a strong global and local search capability.The result of the simulated experiment shows that the operation time used and the number of extremes found on average by the revised algorithm are more outstanding than those of Castro colonial selection algorithm,the optimization of multi-peak function is improved." @default.
- W2372202113 created "2016-06-24" @default.
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- W2372202113 date "2010-01-01" @default.
- W2372202113 modified "2023-09-26" @default.
- W2372202113 title "Introduction to the revised immune colonial selection algorithm and its application in optimization under multi-peak model" @default.
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