An improved differential evolution algorithm based on suboptimal solution mutation
by Liang Chen; Chong Zhou; Xiangping Li; Guangming Dai
International Journal of Computing Science and Mathematics (IJCSM), Vol. 8, No. 1, 2017

Abstract: In order to improve the drawbacks of DE algorithm with DE/best/1 such as the rapid convergence speed and local optimum, this paper proposes an improved DE algorithm. Based on the DE/best/1 mutation operator, a new mutation operator is constructed. The best M individuals are summed as a new individual to replace the base individual of the DE/best/1. This is helpful to avoid falling into local optimum for the fast convergence. Simulation experiments demonstrate that the proposed algorithm outperforms some standard DE variants.

Online publication date: Tue, 21-Mar-2017

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