Arctic Puffin Optimization Algorithm Based on Multi-Strategy Blending  

Arctic Puffin Optimization Algorithm Based on Multi-Strategy Blending

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作  者:Ling Sun Bo Wang Ling Sun;Bo Wang(College of Science, Shenyang University of Technology, Shenyang, China)

机构地区:[1]College of Science, Shenyang University of Technology, Shenyang, China

出  处:《Journal of Computer and Communications》2024年第12期151-170,共20页电脑和通信(英文)

摘  要:A hybrid strategy is proposed to solve the problems of poor population diversity, insufficient convergence accuracy and susceptibility to local optimal values in the original Arctic Puffin Optimization (APO) algorithm, Enhanced Tangent Flight Adaptive Arctic Puffin Optimization with Elite initialization and Adaptive t-distribution Mutation (ETAAPO). Elite initialization improves initial population quality and accelerates convergence. Tangent Flight of the Tangent search algorithm replaces Levy Flight to balance local search and global exploration. The adaptive t-distribution mutation strategy enhances the optimization ability. ETAAPO was tested on CEC2021 functions, Wilcoxon rank-sum tests, and engineering problems, demonstrating superior optimization performance and faster convergence.A hybrid strategy is proposed to solve the problems of poor population diversity, insufficient convergence accuracy and susceptibility to local optimal values in the original Arctic Puffin Optimization (APO) algorithm, Enhanced Tangent Flight Adaptive Arctic Puffin Optimization with Elite initialization and Adaptive t-distribution Mutation (ETAAPO). Elite initialization improves initial population quality and accelerates convergence. Tangent Flight of the Tangent search algorithm replaces Levy Flight to balance local search and global exploration. The adaptive t-distribution mutation strategy enhances the optimization ability. ETAAPO was tested on CEC2021 functions, Wilcoxon rank-sum tests, and engineering problems, demonstrating superior optimization performance and faster convergence.

关 键 词:Arctic Puffin Optimization Elite Reverse Learning Strategy Tangential Flight Strategy Adaptive t-Distribution Variation Strategy 

分 类 号:TN9[电子电信—信息与通信工程]

 

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