广东工业大学学报 ›› 2015, Vol. 32 ›› Issue (1): 121-127.doi: 10.3969/j.issn.1007-7162.2015.01.025

• 综合研究 • 上一篇    下一篇

基于万有引力思想的遗传算子

 李松芳, 刘伟   

  1. 广东工业大学 应用数学学院,广东 广州 510006
  • 收稿日期:2013-06-25 出版日期:2015-03-05 发布日期:2015-03-05
  • 作者简介:李松芳(1986-),男,硕士研究生,主要研究方向为智能计算及其应用.
  • 基金资助:

    国家自然科学基金资助项目(60974077)

Genetic Operator Based on the Idea of Universal Gravitation

Li Song-fang, Liu Wei   

  1. School of Applied Mathematics, Guangdong University of Technology, Guangzhou 510006,China
  • Received:2013-06-25 Online:2015-03-05 Published:2015-03-05

摘要: 借鉴万有引力搜索算法和局部搜索思想,对遗传算法中的算术交叉和非均匀变异算子进行了改进,将万有引力搜索和混沌搜索引入新算子.新算子能够充分利用最优个体信息,兼具有全局搜索与局部搜索性能.仿真实验表明,新算子不但加快了算法的收敛速度,而且提高了求解精度.

关键词: 遗传算法;万有引力搜索;混沌;交叉算子;变异算子

Abstract: With reference to the thought of Gravity search and Local search, it makes improvement to the arithmetic crossover and nonuniform mutation. Gravity search and Chaotic search were integrated into the improved crossover and mutation operators. The new operators have global search and local search performance. At the same time, the best individual was used for chaotic search. Simulation experiments show that the improved operators not only speed up the convergence of the algorithm, but also improve the precision.

Key words: genetic algorithm; gravity search; chaotic; crossover operator; mutation operator

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