A partition-based random search method for multimodal optimization

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  • who: Ziwei Lin et al. from the Department of Mechanical Engineering, Milan, Italy Shanghai Jiao Tong University, Shanghai, China have published the Article: A Partition-Based Random Search Method for Multimodal Optimization, in the Journal: Mathematics 2023, 11, 17. of 21/Dec/2022
  • what: In this paper search method is proposed in which the entire feasible domain is partitioned into smaller and smaller subregions iteratively. The aim of this paper is to deal with multimodal optimization problems, seeking multiple global optimal solutions and high-quality local optimal solutions (local optimal solutions with good objective function . . .

     

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