Multi-Objective Optimization Based on Brain Storm Optimization Algorithm

被引：55
作者：
Shi, Yuhui [1 ]
Xue, Jingqian [2 ]
Wu, Yali [3 ]
机构：
[1] Xian Jiaotong Liverpool Univ, Suzhou, Peoples R China
[2] Huawei, Xian, Peoples R China
[3] Xian Univ Technol, Xian, Peoples R China
来源：
INTERNATIONAL JOURNAL OF SWARM INTELLIGENCE RESEARCH | 2013年 / 4卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Brain Storm Algorithm; Clustering Technique; Multi-Objective Optimization; Objective Space; Pareto-Dominance;
D O I：
10.4018/ijsir.2013070101
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In recent years, many evolutionary algorithms and population-based algorithms have been developed for solving multi-objective optimization problems. In this paper, the authors propose a new multi-objective brain storm optimization algorithm in which the clustering strategy is applied in the objective space instead of in the solution space in the original brain storm optimization algorithm for solving single objective optimization problems. Two versions of multi-objective brain storm optimization algorithm with different characteristics of diverging operation were tested to validate the usefulness and effectiveness of the proposed algorithm. Experimental results show that the proposed multi-objective brain storm optimization algorithm is a very promising algorithm, at least for solving these tested multi-objective optimization problems.
引用
收藏
页码：1 / 21
页数：21
相关论文
共 36 条
[21]  
Parsopoulos KE, 2004, PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND APPLICATIONS, VOLS 1AND 2, P823
[22]   Bacterial Foraging Optimization [J].
Passino, Kevin M. .
INTERNATIONAL JOURNAL OF SWARM INTELLIGENCE RESEARCH, 2010, 1 (01) :1-16
[23]  
Pulido GT, 2004, LECT NOTES COMPUT SC, V3102, P225
[24]  
Ramanand KR, 2012, LECT NOTES COMPUT SC, V7677, P476, DOI 10.1007/978-3-642-35380-2_56
[25]  
Shi YH, 2011, LECT NOTES COMPUT SC, V6728, P303, DOI 10.1007/978-3-642-21515-5_36
[26]  
Shi YH, 2011, INT J SWARM INTELL R, V2, P35, DOI [10.4018/jsir.2011100103, 10.4018/ijsir.2011100103]
[27]  
Smith R, 2002, 7 LEVELS CHANGE
[28]  
Srinivas N., 1994, Evolutionary Computation, V2, P221, DOI 10.1162/evco.1994.2.3.221
[29]   Survey of clustering algorithms [J].
Xu, R ;
Wunsch, D .
IEEE TRANSACTIONS ON NEURAL NETWORKS, 2005, 16 (03) :645-678
[30]  
Xue JQ, 2012, LECT NOTES COMPUT SC, V7331, P513, DOI 10.1007/978-3-642-30976-2_62
1234