Comparison results of PR, SR and CS between MMSSA and state-of-the-art multimodal methods on 20 functions at different accuracy levels
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We propose a multimodal version of squirrel search algorithm named as MMSSA. When solving multimodal optimization problems, MMSSA combines squirrel search with clustering, crowding, and sampling techniques to enhance its multimodal optimization ability. We tested MMSSA on twenty functions recommended by CEC'2013 which was specifically designed as benchmark problems for multimodal optimization.
本文提出一种名为MMSSA的多模态松鼠搜索算法(Squirrel Search Algorithm)。在求解多模态优化问题时,MMSSA将松鼠搜索算法与聚类、拥挤度及采样技术相结合,以增强其多模态优化性能。本文在CEC'2013专门为多模态优化设计的基准测试问题集所推荐的20个测试函数上对MMSSA进行了性能测试。
创建时间:
2020-01-12




