Titlebook: Advances in Swarm Intelligence; 15th International C Ying Tan,Yuhui Shi Conference proceedings 2024 The Editor(s) (if applicable) and The A

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Volatile-Oils

Gründungsintention von Akademikernmization (ARO). This fusion draws from the strengths of both algorithms, offering a powerful tool for addressing complex problems. We have employed a master-slave model strategy, introducing a master-slave structure during the optimization process to enhance search efficiency and optimize algorithm

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/167321.jpg

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https://doi.org/10.1007/978-981-97-7181-3swarm intelligence; swarm intelligence optimization algorithm; ACO; PSO; ABC; GA; FWA; hybrid optimization

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978-981-97-7180-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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A Tri-Swarm Particle Swarm Optimization Considering the Cooperation and the Fitness Valueooperation within the animal groups, the whole population of PSO was divided into three sub-swarms according to their responsibility: i) the exploration swarm (ERS) to explore, ii) the exploitation swarm (EIS) to exploit, iii) the convergence swarm (CS) to converge. And according to the fitness valu

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