令人不快 发表于 2025-3-23 12:29:51

Brain Storm Algorithm Combined with Covariance Matrix Adaptation Evolution Strategy for Optimizationehavior. Meanwhile, the covariance matrix adaptive evolutionary strategy algorithm (CMA-ES) which belongs to the field of evolutionary strategy is also concerned. The purpose of this paper is to combine the search capability of BSO with the search efficiency of CMA-ES to achieve a relatively balanced and effective solution.

Rejuvenate 发表于 2025-3-23 13:57:03

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领先 发表于 2025-3-23 19:35:40

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Jejune 发表于 2025-3-23 22:35:41

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semiskilled 发表于 2025-3-24 03:23:35

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浮雕宝石 发表于 2025-3-24 09:36:35

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射手座 发表于 2025-3-24 13:09:19

Lecture Notes in Computer Sciencetima of optimization problems. Hundreds of articles on the BSO algorithms have been published in different journals and conference proceedings, even though there are more questions than answers. In this chapter, BSO algorithms are comprehensively surveyed and the future research directions are discu

亵渎 发表于 2025-3-24 15:15:16

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BUCK 发表于 2025-3-24 22:46:04

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冷淡周边 发表于 2025-3-25 01:18:20

Lecture Notes in Computer Scienceronmental pollution. A novel Multi-objective Differential Brain Storm Optimization (MDBSO) algorithm is proposed to solve EED problem in this chapter. Different from the classical BSO, the clustering operation is designed in the objective space instead of solution space to improve the computing effi
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查看完整版本: Titlebook: Brain Storm Optimization Algorithms; Concepts, Principles Shi Cheng,Yuhui Shi Book 2019 Springer Nature Switzerland AG 2019 Computational I