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一类二层多目标规划的混沌遗传优化算法及其应用
引用本文:郭兴众,马健.一类二层多目标规划的混沌遗传优化算法及其应用[J].北京科技大学学报,2006,28(7):696-699.
作者姓名:郭兴众  马健
作者单位:安徽工程科技学院电气工程系,芜湖,241000
摘    要:针对求解一类二层多目标规划问题,首先将其转化为等价的单目标规划问题,然后利用遗传算法优化的反演性和混沌优化方法的遍历性,并结合精确罚函数求解非线性约束优化问题,提出了求解此类问题的混沌遗传算法.该方法能够有效改善遗传算法的局部搜索能力和搜索精度,求解精度和可靠性较高.实际算例表明,算法是有效可行的.

关 键 词:二层多目标规划  混沌遗传算法  优化  二层多目标规划  混沌遗传优化算法  应用  applications  problems  programming  algorithm  searching  genetic  算例  求解精度  搜索精度  搜索能力  局部  混沌遗传算法  改善  混沌优化方法  线性约束优化问题  函数求解  结合
收稿时间:2006-02-24
修稿时间:2006-04-18

Chaos genetic searching algorithm for bilevel multi-objective programming problems and its applications
GUO Xingzhong,MA Jian.Chaos genetic searching algorithm for bilevel multi-objective programming problems and its applications[J].Journal of University of Science and Technology Beijing,2006,28(7):696-699.
Authors:GUO Xingzhong  MA Jian
Institution:Dept. of Electrical Engineering, Anhui University of Technology and Science, Wuhu 241000, China
Abstract:A class of bilevel multl-objective programming was converted into the problem of equivalent single-level multi-objective programming. Then a new chaos genetic optimization algorithm was presented by using the inversion property of genetic algorithm and the ergodic property of chaos optimization method and combining with the exact l1 penalty function. The local search ability and search accuracy of genetic algorithm were improved. The solving accuracy and credibility became high. An actual calculated example showed that the algorithm is effective and efficient.
Keywords:bilevel multi-objective programming  chaos genetic algorithm  optimization
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