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一种改进的小生境遗传算法
引用本文:郏宣耀,王芳.一种改进的小生境遗传算法[J].重庆邮电学院学报(自然科学版),2005,17(6):721-723,744.
作者姓名:郏宣耀  王芳
作者单位:[1]浙江大学宁波理工学院信息科学与工程分院,浙江宁波315100 [2]School of Business Management, University of East Anglia, Norwich, England,NR4 7TJ
基金项目:浙江大学宁波理工学院青年创新基金资助项目(2004-11)
摘    要:简单遗传算法(SGA)存在早熟收敛和后期收敛速度慢的弱点,基于小生境(niche)技术的改进遗传算法因其较好地保持了种群多样性,显示出更优的性能,但它存在操作复杂、比简单遗传算法更费时的缺陷,因此提出了一种基于自适应的小生境遗传算法。该算法在多模函数的优化中能够保持种群多样度的稳定性,获取合适的子种群规模,从而以更快的收敛速度获得更优的解。仿真结果表明该算法高效、可靠,易于实现。

关 键 词:简单遗传算法  小生境  多模函数优化  早熟收敛  自适应
文章编号:1004-5694(2005)06-0721-03
收稿时间:2005-01-11
修稿时间:2005-01-112005-08-28

Improved niching genetic algorithm
JIA Xuan-yao , WANG Fang.Improved niching genetic algorithm[J].Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition),2005,17(6):721-723,744.
Authors:JIA Xuan-yao  WANG Fang
Institution:1. College of Information, Ningbo Institute of Technology, Zhejiang UT, iversity , Ningbo 315100,P. R. China; 2. School of Business Management, University of East Anglia , Norwich, NR4 7 TJ ,England
Abstract:Simple Genetic Algorithm(SGA) has the weaknesses of premature convergence and low speed of convergence in later stage then,the improved Genetic Algorithm based on Niche technique shows a better performance because it keeps the population diversity well,but it is more complex than SGA in operation and is more time consuming.This paper presents a new method based on self-adaptive,it can keep the population diversity stable and determine a suitable size of sub population in optimization of multimodal functions,so it can obtain more optimal solution at a much higher speed.The simulation experiment indicates that this new algorithm is efficient,reliable and easy to program.
Keywords:SGA  niche  multimodal function optimization  premature convergence  self-adaptive
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