Artificial Fish Swarm Algorithm Based on Chaotic Genetic Operation
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    Abstract:

    A novel algorithm based on chaotic genetic operation is presented in this article to improve computation precision and convergence rate of original artificial fish swarm algorithm. With the chaotic disturbance increasing in fish swarm genetic iteration, the trap of local extremum is avoided, while the optimization effect, computation precision and convergence rate are also improved. Simulation result shows it works well and plays the specialties of genetic algorithm and fish swam algorithm.

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樊友洪,邓韧,李生林,罗凯文,郭宇栋.基于混沌遗传算子的人工鱼群算法.计算机系统应用,2017,26(3):214-218

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History
  • Received:June 22,2016
  • Revised:August 08,2016
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  • Online: March 11,2017
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