New Particle Swarm Optimization Algorithm Incorporating Reproduction Operator for Solving Global Optimization Problems

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7th International Conference on Hybrid Intelligent Systems (HIS 2007)

Kaiserslautern, Germany

September 17-September 19

ISBN: 0-7695-2946-1

	ASCII Text	x
	Millie Pant, Radha Thangaraj, Ajith Abraham, "New Particle Swarm Optimization Algorithm Incorporating Reproduction Operator for Solving Global Optimization Problems," Hybrid Intelligent Systems, International Conference on, pp. 144-149, 7th International Conference on Hybrid Intelligent Systems (HIS 2007), 2007.

	BibTex	x
	@article{ 10.1109/HIS.2007.20, author = {Millie Pant and Radha Thangaraj and Ajith Abraham}, title = {New Particle Swarm Optimization Algorithm Incorporating Reproduction Operator for Solving Global Optimization Problems}, journal ={Hybrid Intelligent Systems, International Conference on}, volume = {0}, year = {2007}, isbn = {0-7695-2946-1}, pages = {144-149}, doi = {http://doi.ieeecomputersociety.org/10.1109/HIS.2007.20}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Hybrid Intelligent Systems, International Conference on TI - New Particle Swarm Optimization Algorithm Incorporating Reproduction Operator for Solving Global Optimization Problems SN - 0-7695-2946-1 SP144 EP149 A1 - Millie Pant, A1 - Radha Thangaraj, A1 - Ajith Abraham, PY - 2007 KW - null VL - 0 JA - Hybrid Intelligent Systems, International Conference on ER -

Millie Pant, IIT Roorkee, India

Radha Thangaraj, IIT Roorkee, India

Ajith Abraham, Norwegian University of Science and Technology, Norway

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/HIS.2007.20

This paper presents a new variant of Basic Particle Swarm Optimization (BPSO) algorithm named QI-PSO for solving global optimization problems. The QI-PSO algorithm makes use of a multiparent, quadratic crossover/reproduction operator defined by us in the BPSO algorithm. The proposed algorithm is compared it with BPSO and the numerical results show that QIPSO outperforms the BPSO algorithm in all the sixteen cases taken in this study.

Citation:

Millie Pant, Radha Thangaraj, Ajith Abraham, "New Particle Swarm Optimization Algorithm Incorporating Reproduction Operator for Solving Global Optimization Problems," his, pp.144-149, 7th International Conference on Hybrid Intelligent Systems (HIS 2007), 2007

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