Boundary Handling Approaches in Particle Swarm Optimization

被引:25
|
作者
Padhye, Nikhil [1 ]
Deb, Kalyanmoy [2 ]
Mittal, Pulkit [3 ]
机构
[1] MIT, Dept Mech Engn, Cambridge, MA 02139 USA
[2] Indian Inst Technol, Dept Mech Engn, Kanpur, Uttar Pradesh, India
[3] Indian Inst Technol, Dept Elect Engn, Kanpur, Uttar Pradesh, India
关键词
Constrained Optimization; Evolutionary Algorithms; Particle Swarm Optimization; ALGORITHM;
D O I
10.1007/978-81-322-1038-2_25
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, Particle Swarm Optimization (PSO) methods have gained popularity in solving single objective and other optimization tasks. In particular, solving constrained optimization problems using swarm methods has been attempted in past but arguably stays as one of the challenging issues. A commonly encountered situation is one in which constraints manifest themselves in form of variable bounds. In such scenarios the issue of constraint-handling is somewhat simplified. This paper attempts to review popular bound handling methods, in context to PSO, and proposes new methods which are found to be robust and consistent in terms of performance over several simulation scenarios. The effectiveness of bound handling methods is shown PSO; however the methods are general and can be combined with any other optimization procedure.
引用
收藏
页码:287 / +
页数:3
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