• CN:11-2187/TH
  • ISSN:0577-6686

›› 2004, Vol. 40 ›› Issue (2): 96-101.

• 论文 • 上一篇    下一篇

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基于混沌的全局优化新方法

冯春;陈永   

  1. 西南交通大学机械工程学院
  • 发布日期:2004-02-15

NEW GLOBAL OPTIMIZATION METHOD BASED ON CHAOS AND FRACTALS

Feng Chun;Cheng Yong   

  1. Southwest Jiaotong University
  • Published:2004-02-15

摘要: 牛顿优化技术是重要的一维及多维优化迭代技术,其迭代本身对初始点非常敏感,该敏感区是牛顿优化技术所构成的非线性离散动力系统Julia集,提出一种寻找牛顿优化迭代函数的Julia点的求解方法,利用非线性离散动力系统在其Julia集出现混沌分形现象的特点,提出一种基于牛顿优化技术的全局优化新方法,数值试验表明了该方法的有效性和正确性。

关键词: Julia集, 分形, 混沌, 全局优化

Abstract: Newton optimization technique is an important optimization technique and a nonlinear discrete dynamic process that exhibits sensitive dependence on initial guess point. This sensitivity has a fractal nature. The Julia set of Newton optimization iterative function is the sensitive area. A method to find Julia set point is proposed. The Julia set which is the boundaries of basins of attractions (optima) display the intricate fractal structures and chaos phenomena. A novel global optimization method based on utilizing sensitive fractal areas to locate the Julia set point to find all the local optima of the nonlinear optimization problems is proposed. The developed technique uses an important feature of fractals to preserve shape of basins of attraction (optima) on infinitely small scales. The numerical simulation results show that the method is effective.

Key words: Chaos, Fractals, Global optimzation, Julia sets

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