The research of swarm intelligence algorithm based on chaotic frog behavior

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• 作者：Xiaodan Zhang ; ^{zhangdaqing_925@163.com} ; Feng Hu ; Cairong Zou ; Li Zhao
• 关键词：Shuffled Frog Leaping Algorithm (Sfla) ; Particle Swarm Optimization (Pso) ; Chaos
• 刊名：Energy Procedia
• 出版年：2011
• 出版时间：2011
• 年：2011
• 卷：13
• 期：Complete
• 页码：1189-1196
• 全文大小：425 K

文摘

Propose a new algorithm, Chaotic Shuffled Frog Leaping Algorithm (CSFLA), based on the theory of the Shuffled Frog Leaping Algorithm (SFLA) and Particle Swarm Optimization (PSO), which describe the chaotic behavior of a single frog by chaos theory and is adaptive to solve the optimization problem by constantly adjusting the chaotic behavior of the individual and the interaction of the population information. Simulation results demonstrate that the chaotic search of CSFLA is help to maintain the population diversity and improve search efficiency. Compared to SFLA, CSFLA increases the convergence rate and enhances the global searching performance.