An Improved Multi-Agent Genetic Algorithm based on NSGA-II

被引：0
|
作者：
Hou, Wen-ren [1 ]
Shi, Lian-shuan [1 ]
机构：
[1] Tianjin Univ Technol & Educ, Sch Informat Technol Engn, Tianjin, Peoples R China
来源：
2015 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND TECHNOLOGY (ICCST 2015) | 2015年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An improved multi-Agent genetic algorithm based on NSGA-II to solve the multi-objective optimization problem is discussed. The evolutionary operator is designed and the improved selection algorithm and elite reserved mechanism have been given, so as to ensure the diversity of population. Several standard test functions are used to test the algorithm and the simulation results show that the proposed algorithm has better convergence and the optimal solution can be quickly obtained.
引用
收藏
页码：155 / 161
页数：7
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