• Title/Summary/Keyword: MUDE

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Multipopulation Differential Evolution Algorithm (다중 인구 차동 진화 알고리즘)

  • Shin, Seong-Yoon;Lee, Hyun-Chang;Shin, Kwang-Seong;Kim, Hyung-Jin;Lee, Jae-Wan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.549-550
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    • 2021
  • This paper, we propose a multi-population differential evolutionary algorithm using MUDE (Uniform Local Search) to recognize various mutation strategies. In MUDE, a population is divided into several subpopulations with different population sizes that perform different mutation strategies according to evolutionary ratios (DE/rand/1 and DE/current-to-rand/1). To improve population diversity, information is migrated between subpopulations by a soft island model.

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