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PSO-Incorporated Hybrid Artificial Hummingbird Algorithm with Elite Opposition-Based Learning and Cauchy Mutation: A Case Study of Shape Optimization for CSGC-Ball Curves.

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第一作者： Kang,Chen

第一单位： Unmanned System Research Institute, Northwestern Polytechnical University, Xi'an 710072, China.

作者： Kang,Chen ^[1] ; Liuxin,Chen ^[2] ; Gang,Hu ^[3]

作者单位： Unmanned System Research Institute, Northwestern Polytechnical University, Xi'an 710072, China. ^[1] Xi'an Jingkai No. 1 Primary School, Xi'an 710018, China.;Department of Applied Mathematics, Xi'an University of Technology, Xi'an 710054, China. ^[2] Department of Applied Mathematics, Xi'an University of Technology, Xi'an 710054, China.;School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China. ^[3]

关键词 Cauchy mutation artificial hummingbird algorithm elite opposition-based learning generalized Ball curves particle swarm optimization shape optimization

DOI 10.3390/biomimetics8040377

PMID 37622982

发布时间 2023-08-28

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2023年8卷4期

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PSO-Incorporated Hybrid Artificial Hummingbird Algorithm with Elite Opposition-Based Learning and Cauchy Mutation: A Case Study of Shape Optimization for CSGC-Ball Curves.

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PSO-Incorporated Hybrid Artificial Hummingbird Algorithm with Elite Opposition-Based Learning and Cauchy Mutation: A Case Study of Shape Optimization for CSGC-Ball Curves.

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