Damping Search Algorithm for Multi-objective Optimization Problems

被引：0
|
作者：
Ji, Jia [1 ]
Peng, Jinhua [1 ]
Zhao, Xinchao [2 ]
机构：
[1] Beijing Univ Posts & Telecommun, Sch Software Engn, Beijing 102209, Peoples R China
[2] Beijing Univ Posts & Telecommun, Dept Math, Sch Sci, Beijing 100876, Peoples R China
来源：
ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, AICI 2010, PT II | 2010年 / 6320卷
关键词：
multi-objective optimization; damping search algorithm; damped vibration; Pareto optimal solution;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
An algorithm based on damped vibration for multi-objective optimization problems is proposed in this paper. This algorithm makes use of the concept of damped vibration to do local search to find optimal solutions. The concept of Pareto Dominance is used to determine whether a solution is optimal. Meanwhile, the use of many random vibrators and the randomness of the initial maximum displacement ensure that the solutions are global. Simulation results show that the damping search algorithm is efficient in finding more solutions and also have good convergence and solution diversity.
引用
收藏
页码：185 / 192
页数：8
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