Self-adaptive differential evolution algorithm with improved mutation mode
S Wang, Y Li, H Yang - Applied Intelligence, 2017 - Springer
The optimization performance of the Differential Evolution algorithm (DE) is easily affected
by its control parameters and mutation modes, and their settings depend on the specific
optimization problems. Therefore, a Self-adaptive Differential Evolution algorithm with
Improved Mutation Mode (IMMSADE) is proposed by improving the mutation mode of DE
and introducing a new control parameters adaptation strategy. In IMMSADE, each individual
in the population has its own control parameters, and they would be dynamically adjusted …
by its control parameters and mutation modes, and their settings depend on the specific
optimization problems. Therefore, a Self-adaptive Differential Evolution algorithm with
Improved Mutation Mode (IMMSADE) is proposed by improving the mutation mode of DE
and introducing a new control parameters adaptation strategy. In IMMSADE, each individual
in the population has its own control parameters, and they would be dynamically adjusted …
[CITATION][C] Self-adaptive differential evolution algorithm with improved mutation mode
W Shihao, L Yuzhen, Y Hongyu - Applied Intelligence, 2017
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