A constraint function method for solving multiobjective optimization problems

被引：0
|
作者：
Lu Baiquan [1 ]
Gao Gaiqin [1 ]
Wang Fei [1 ]
Wang Jin [1 ]
Li Jin [1 ]
机构：
[1] Shanghai Univ, Coll Mechatron Engn & Automat, Shanghai 200041, Peoples R China
来源：
PROCEEDINGS OF THE 2009 WRI GLOBAL CONGRESS ON INTELLIGENT SYSTEMS, VOL IV | 2009年
关键词：
D O I：
10.1109/GCIS.2009.215
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a new method for solving the multiobjective optimization problems is proposed, which changes the multiobjective optimization problems to problems of solving nonlinear equations that can be solved by the methods of solving nonlinear equations such as reference [7]. Because usually there are much pareto optimal solution for multiobjective optimization problems. Some constraints on an objective function can be used as a prior information to constrain this equations in order to get distribution of pareto optimal solutions of this nonlinear equations, and some pareto optimal solutions are got by the method given in this paper. To show effectiveness of this method, the simulations of some examples are carried out by the proposed method. As a result, this indicates that the proposed method is very useful.
引用
收藏
页码：224 / 228
页数：5
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