Rate the Article: Optimization Approach for Computational Intelligence based on Hybrid PSO and DE, IJSR, Call for Papers, Online Journal
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064

Downloads: 116 | Views: 363

Research Paper | Information Technology | India | Volume 2 Issue 7, July 2013 | Rating: 6.6 / 10


Optimization Approach for Computational Intelligence based on Hybrid PSO and DE

Preeti Soni, Minu Choudhary


Abstract: In this paper, combination of PSO and DE is proposed for quickly finding the global optimization solutions. The mutli-benchmark functions are used to test the performance of the proposed method. Empirical studies show that the proposed method helps in improving the union rate of the basic DE algorithm without compromising with the quality of solution. The main purpose of this cram work is to nearby the major techniques for quickly verdict the global solutions.


Keywords: Particle Swarm Optimization, Differential Evolution, Global Solution, Hybridization


Edition: Volume 2 Issue 7, July 2013,


Pages: 310 - 313



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