Harmony search algorithm for solving multiobjective optimization problem based on maximum entropy function methods
极大熵和声搜索算法求解多目标优化*

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.