DocumentCode
3041236
Title
An Improved Particle Swarm Optimization Algorithm for MINLP Problems
Author
Jian, Xu ; Zhao, Liu
Author_Institution
Dept. of Electron. & Inf., Northwestern Polytech. Univ., Xi´´an, China
Volume
1
fYear
2009
fDate
19-21 May 2009
Firstpage
159
Lastpage
162
Abstract
This paper, to solve the MINLP (mixed integer nonlinear programming) problems, presents an improved algorithm of PSO (particle swarm optimization). The main contribution of the improved algorithm includes: new migration strategy was proposed and the velocity update strategy was replaced by a new one. Experiments show that the new algorithm has better results and more effective than others.
Keywords
integer programming; nonlinear programming; particle swarm optimisation; MINLP problems; migration strategy; mixed integer nonlinear programming; particle swarm optimization algorithm; Computer science; Costs; Educational institutions; Electronic mail; Evolutionary computation; Flowcharts; Intelligent systems; Lab-on-a-chip; Military computing; Particle swarm optimization; EC; MINLP; PSO;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location
Xiamen
Print_ISBN
978-0-7695-3571-5
Type
conf
DOI
10.1109/GCIS.2009.115
Filename
5208999
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