Barebones particle swarm for integer programming problems

被引：15
|
作者：
Omran, Mahamed G. H. [1 ]
Engelbrecht, Andries [2 ]
Salman, Ayed [3 ]
机构：
[1] Gulf Univ Sci & Technol, Dept Comp Sci, Kuwait, Kuwait
[2] Univ Pretoria, Dept Comp Sci, ZA-0002 Pretoria, South Africa
[3] Kuwait Univ, Dept Comp Engn, Safat 13060, Kuwait
来源：
2007 IEEE SWARM INTELLIGENCE SYMPOSIUM | 2007年
关键词：
D O I：
10.1109/SIS.2007.368042
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The performance of two recent variants of Particle Swarm Optimization (PSO) when applied to Integer Programming problems is investigated. The two PSO variants, namely, barebones Particle Swarm (BB) and the exploiting barebones Particle Swarm (BBExp) are compared with the standard PSO and standard Differential Evolution (DE) on several Integer Programming test problems. The results show that the BBExp seems to be an efficient alternative for solving Integer Programming problems.
引用
收藏
页码：170 / +
页数：3
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