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Velocity clamping-assisted adaptive salp swarm algorithm: balance analysis and case studies.

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第一作者： Hongwei,Ding

第一单位： School of Information Science and Engineering, Yunnan University, Kunming 650500, China.;University Key Laboratory of Internet of Things Technology and Application, Yunnan Province, Kunming 650500, China.

作者： Hongwei,Ding ^[1] ; Xingguo,Cao ^[1] ; Zongshan,Wang ^[1] ; Gaurav,Dhiman ^[2] ; Peng,Hou ^[3] ; Jie,Wang ^[4] ; Aishan,Li ^[5] ; Xiang,Hu ^[6]

作者单位： School of Information Science and Engineering, Yunnan University, Kunming 650500, China.;University Key Laboratory of Internet of Things Technology and Application, Yunnan Province, Kunming 650500, China. ^[1] Department of Computer Science, Government Bikram College of Commerce, Patiala, India.;University Centre for Research and Development, Department of Computer Science and Engineering, Chandigarh University, Gharuan, Mohali, India.;Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun, India. ^[2] School of Computer Science, Fudan University, Shanghai 200433, China. ^[3] School of Mechanical and Power Engineering, Zhengzhou University, Zhengzhou 450000, China. ^[4] Rackham Graduate School, University of Michigan, Ann Arbor, USA. ^[5] College of Information, Shanghai Ocean University, Shanghai, China. ^[6]

关键词 engineering design optimization numerical optimization robot path planning salp swarm algorithm swarm intelligence

主题词算法(Algorithms);收缩(Constriction)

DOI 10.3934/mbe.2022364

PMID 35801444

发布时间 2022-08-09

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