Glowworm swarm optimization algorithm for solving multi-objective optimization problem

被引：6
|
作者：
He Deng-xu [1 ]
Liu Gui-qing [1 ]
Zhu Hua-zheng [2 ]
机构：
[1] Guangxi Univ Nationalities, Sch Assoc Southeast Asian Nations, Nanning, Peoples R China
[2] Chongqing Univ, Coll Comp Sci, Chongqing 630044, Peoples R China
来源：
2013 9TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS) | 2013年
关键词：
glowworm swarm optimization; GSO; multi-objective optimization; swarm intelligence;
D O I：
10.1109/CIS.2013.10
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The glowworm swarm optimization algorithm is used to solve multi-objective optimization problem (MOP-GSO). It is shown by simulation that, MOP-GSO algorithm is effective to solve multi-objective optimization. Compared with NSGA2, it is better in term of the spread of the solutions.
引用
收藏
页码：11 / 15
页数：5
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