一种改进的多目标混合遗传算法及应用  

Improved multi-objective hybrid genetic algorithm and its application

作　　者：唐天兵[1] 申文杰[1] 韦凌云[2] 谢祥宏[1] 

机构地区：[1]广西大学计算机与电子信息学院,南宁530004 [2]北京邮电大学自动化学院,北京100876

出　　处：《计算机工程与应用》2010年第22期242-244,248,共4页Computer Engineering and Applications

基　　金：国家自然科学基金No.50605010~~

摘　　要：在NSGA-Ⅱ算法中引入自适应交叉算子和自适应变异算子,将模拟退火算法与改进的NSGA-Ⅱ算法相结合,并应用到武器装备供应合同商的选择与评价中。实验结果表明,非劣解在目标空间分布均匀,算法收敛性好,为求解武器装备供应合同商选择的多目标问题提供了一种有效的工具。After improving NSGA-II by importing adaptive crossover and mutation operators,this paper combines it with the simulation annealing algorithm and then applies them to the problem of choice and valuation of the supply contractors of weaponry equipment.The pareto solutions are distributed uniformly and the algorithm shows nice convergence through the ex- perimental result.So it provides an efficient tool for solving the multi-objective problem of choosing the contractors of weaponry supplies.

关 键 词：多目标优化 遗传算法 模拟退火 合同商选择 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]