广东工业大学学报 ›› 2014, Vol. 31 ›› Issue (1): 40-45.doi: 10.3969/j.issn.1007-7162.2014.01.008

• 综合研究 • 上一篇    下一篇

一种基于漂移和波动思想的遗传算法

李松芳,刘伟,徐怀祥   

  1. 广东工业大学 应用数学学院,广东 广州 510006
  • 收稿日期:2012-10-09 出版日期:2014-03-29 发布日期:2014-03-29
  • 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)

A New Genetic Algorithm Based on Drift and Wave Thought

Li Song-fang, Liu Wei, Xu Huai-xiang   

  1. School of Applied Mathematics, Guangdong University of Technology, Guangzhou 510006,China
  • Received:2012-10-09 Online:2014-03-29 Published:2014-03-29

摘要: 为充分利用最优个体的信息,借鉴于漂移和波动思想设计出新的交叉与变异算子,提出一种新的遗传算法.新算法采用混沌策略处理不可行个体,新算子结合最优个体信息,兼具全局搜索与局部搜索性能.仿真实验表明,新算法不但加快了算法的收敛速度,而且提高了求解精度,是一种有效性算法.

关键词: 遗传算法;波动;漂移;混沌策略

Abstract: In order to make full use of the optimal individual information, referring to thought of drift and wave to design the new crossover and mutation operator, it proposes a new genetic algorithm; The new algorithm uses the chaotic strategy for processing infeasible individuals, with the new operator combined with optimal individual information, so it has the capability of global search and local search. Simulation experiments show that the new algorithm can improve the algorithm convergence speed and accuracy, and that the proposed method is effective and feasible.

Key words: genetic algorithm; wave; drift; chaotic strategy

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