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实数交叉算子的选取和算法改进
引用本文:石玉,于盛林. 实数交叉算子的选取和算法改进[J]. 南京邮电大学学报(自然科学版), 2002, 22(2): 42-46
作者姓名:石玉  于盛林
作者单位:南京航空航天大学,自动化学院,江苏,南京,210016;南京航空航天大学,自动化学院,江苏,南京,210016
摘    要:在总结分析实数遗传算子的基础上 ,根据算法搜索效果 ,将区域划分与转移思想应用到算法结构改进中。对复杂函数全局解搜索的实验表明 ,新算法在寻找复杂问题的全局解、提高搜索精度方面比基本实数遗传算法有较大改进。文中还将改进的实数遗传算法用于测量数据的估计中 ,得到了较好的线性和非线性参数估计结果。

关 键 词:遗传算法  全局优化  参数估计
文章编号:1000-1972(2002)02-0042-05
修稿时间:2002-01-28

Real-Coded Crossover Operator and Improved Real-Coded Genetic Algorithm
SHI Yu,YU Sheng-lin. Real-Coded Crossover Operator and Improved Real-Coded Genetic Algorithm[J]. JJournal of Nanjing University of Posts and Telecommunications, 2002, 22(2): 42-46
Authors:SHI Yu  YU Sheng-lin
Abstract:In this paper, a kind of improved real coded genetic algorithm based on the judgement of searching performance is put forward. The characteristics of some real coded genetic operators are discussed, and the strategy of field division is used in the new algorithm. Numerical experiments show that the new algorithm can find the global solution of complex functions and can improve the precision of searching result greatly. The new algorithm is also used in parameter estimate, and the results of linear estimate and nonlinear estimate all show the effective of the improved algorithm.
Keywords:Genetic algorithm  Global optimization  Parameter estimate
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