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一种求解多目标组合优化的遗传局部搜索算法
引用本文:杨开兵,刘晓冰.一种求解多目标组合优化的遗传局部搜索算法[J].计算机应用与软件,2009,26(8):16-17,119.
作者姓名:杨开兵  刘晓冰
作者单位:1. 大连理工大学CIMS中心,辽宁,大连,116024;大连工业大学信息科学与工程学院,辽宁,大连,116034
2. 大连理工大学CIMS中心,辽宁,大连,116024
基金项目:国家自然科学基金资助项目 
摘    要:为改善遗传算法求解多目标组合优化问题的搜索效率,提出一种新的遗传局部搜索算法.算法采取非劣解并行局部搜索策略以及基于分散度的精英选择策略,并采用基于NSGA-Ⅱ的适应度赋值方式和二元赌轮选择操作,以提高算法收敛性,保持群体多样性.实验结果表明,新算法能够产生数量较多分布较广的近似Pareto最优解.

关 键 词:多目标组合优化  适应度赋值  局部搜索

A GENETIC LOCAL SEARCH ALGORITHM FOR MULTI-OBJECTIVE COMBINATORIAL OPTIMIZATION
Yang Kaibing,Liu Xiaobing.A GENETIC LOCAL SEARCH ALGORITHM FOR MULTI-OBJECTIVE COMBINATORIAL OPTIMIZATION[J].Computer Applications and Software,2009,26(8):16-17,119.
Authors:Yang Kaibing  Liu Xiaobing
Affiliation:CIMS Center;Dalian University of Technology;Dalian 116024;Liaoning;China;College of Information Science and Engineering;Dalian Polytechnic University;Dalian 116034;China
Abstract:In order to improve the search efficiency of genetic algorithms for solving multi-objective combinatorial optimization problems,a new genetic local search algorithm is proposed.The method uses a non-inferior solution parallel local search strategy and dispersity-based elitist selection strategy,and adopts NSGA-II based fitness assignment and binary roulette selection operation to improve the convergence of the algorithm and preserve the diversity in the population.The experimental results show that the prop...
Keywords:Multi-objective combinatorial optimization Fitness assignment Local search  
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