Multi-strategy Different Dimensional Mutation Differential Evolution Algorithm
AIP Conference Proceedings(2019)
摘要
Aiming at the characteristics of differential evolution (DE) algorithm, such as premature convergence and low convergence accuracy, we propose a multi-strategy different dimensional mutation differential evolution (MDMDE) algorithm. On one hand, the algorithm starts from the mutation dimension, and then proposes a different dimensional strategy. On the other hand, multi-strategy mutation is used in the whole generation cycle of the algorithm. In addition, a modified crossover rate and a dynamic mutation factor are proposed to jump out of the local maximum. Finally, MDMDE is applied to 8 kinds of test functions and compared with other two algorithms. The results show that MDMDE can obtain better optimization results and it exhibits more desirable performance than the other algorithms.
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关键词
Dynamic Economic Dispatch,Differential Evolution Algorithm,Different Dimensional,Multi-strategy,Dynamic Mutation
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