2022
DOI: 10.3934/mbe.2022279
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Self-organizing map based differential evolution with dynamic selection strategy for multimodal optimization problems

Abstract: <abstract> <p>Many real-world problems can be classified as multimodal optimization problems (MMOPs), which require to locate global optima as more as possible and refine the accuracy of found optima as high as possible. When dealing with MMOPs, how to divide population and obtain effective niches is a key to balance population diversity and convergence during evolution. In this paper, a self-organizing map (SOM) based differential evolution with dynamic selection strategy (SOMDE-DS) is proposed… Show more

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