The Research of Swarm Intelligence Algorithm Based on Chaotic Frog Behavior
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.
Shuffled Frog leaping Algorithm (SFLA) Particle Swarm Optimization (PSO) chaos
Xiaodan Zhang Feng Hu Cairong Zou Li Zhao
Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education School of Information Science and Engineering Southeast University Nanjing, China
国际会议
成都
英文
993-996
2010-12-17（万方平台首次上网日期，不代表论文的发表时间）