Self-adaptive improved differential evolution algorithm
Published in 2010 Sixth International Conference on Natural Computation • Aug 1, 2010
NobleIDNI3P90W15R43S73
Authors:,,
Liangdong Qu
Dengxu He
Yongsheng Li
Abstract
A new self-adaptive improved differential evolution algorithm is presented. In order to improve the population's diversity and the ability of breaking away from the local optimum, according to the value of the variance of the population's fitness during the evolution process, a new mutation operator...
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