Multiobjective Cloud Particle Optimization Algorithm Based on Decomposition

被引：10
|
作者：
Li, Wei [1 ]
Wang, Lei [1 ]
Jiang, Qiaoyong [1 ]
Hei, Xinhong [2 ]
Wang, Bin [1 ]
机构：
[1] Xian Univ Technol, Sch Comp Sci & Engn, Xian 710048, Peoples R China
[2] Shaanxi Key Lab Network Comp & Secur Technol, Xian 710048, Peoples R China
来源：
ALGORITHMS | 2015年 / 8卷 / 02期
基金：
中国国家自然科学基金;
关键词：
D O I：
10.3390/a8020157
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The multiobjective evolutionary algorithm based on decomposition (MOEA/D) has received attention from researchers in recent years. This paper presents a new multiobjective algorithm based on decomposition and the cloud model called multiobjective decomposition evolutionary algorithm based on Cloud Particle Differential Evolution (MOEA/D-CPDE). In the proposed method, the best solution found so far acts as a seed in each generation and evolves two individuals by cloud generator. A new individual is produced by updating the current individual with the position vector difference of these two individuals. The performance of the proposed algorithm is carried on 16 well-known multi-objective problems. The experimental results indicate that MOEA/D-CPDE is competitive.
引用
收藏
页码：157 / 176
页数：20
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