DocumentCode
2719970
Title
A New Particle Swarm Optimization with Quadratic Interpolation
Author
Pant, Millie ; Radha, T. ; Singh, V.P.
Author_Institution
IIT Roorkee, Saharanpur
Volume
1
fYear
2007
fDate
13-15 Dec. 2007
Firstpage
55
Lastpage
60
Abstract
In this paper we have presented a new variant of Basic Particle Swarm Optimization (BPSO) algorithm named QIPSO for solving global optimization problems. The QIPSO algorithm makes use of a multiparent, quadratic crossover/reproduction operator defined by us in the BPSO algorithm. We have compared it with Basic Particle Swarm Optimization and the numerical results show that QIPSO outperforms the BPSO algorithm in all the sixteen cases taken in this study.
Keywords
interpolation; particle swarm optimisation; QIPSO algorithm; global optimization problem; multiparent crossover/reproduction operator; particle swarm optimization; quadratic crossover/reproduction operator; quadratic interpolation; Computational intelligence; Equations; Evolution (biology); Evolutionary computation; Genetic mutations; Interpolation; Life testing; Paper technology; Particle swarm optimization; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
Conference_Location
Sivakasi, Tamil Nadu
Print_ISBN
0-7695-3050-8
Type
conf
DOI
10.1109/ICCIMA.2007.95
Filename
4426553
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