极大熵和声搜索算法求解多目标优化  

Harmony search algorithm for solving multiobjective optimization problem based on maximum entropy function methods

作　　者：雍龙泉[1] 邓方安[1] 张社民[1] 

机构地区：[1]陕西理工学院数学系,陕西汉中723001

出　　处：《计算机应用研究》2011年第10期3652-3655,共4页Application Research of Computers

基　　金：陕西省教育厅科研计划资助项目(09JK381;2010JK459);陕西理工学院科研启动基金项目(SLGQD0801)

摘　　要：给出了求解多目标优化问题的一个新算法。首先利用极大熵函数,将多目标优化问题转换为一个单目标优化问题;然后利用和声搜索算法对其进行求解,进而得到多目标优化问题的有效解。该算法对目标函数的解析性质没有要求且容易实现,数值结果表明了该方法是有效的。This paper proposed a new method for solving multiobjective optimization problem.First,it reformucated multiobjective optimization problem as a single objective optimization problem via the maximum entropy function,then used the harmony search algorithm to solve the converted problem.Furthermore,obtained an efficient solution to multiobjective optimization problem.The algorithm does not require the analytical nature of the objective function and easy to implement,and numerical results indicates that the method is effective in solving multiobjective optimization problem.

关 键 词：多目标优化 极大熵函数 和声搜索算法 有效解 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]