Hybrid Computational Intelligence for Optimization Based On PSO and DE
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 10
Abstract
Particle Swarm Optimization (PSO) is a stochastic global optimization method which is originated from the reproduction of the social performance of birds within a flock. Differential Evolution (DE)is a method that optimizes a problem by iteratively trying to improve an applicant solution with regard to a given determine or feature. The main purpose of this cram work is to nearby the major techniques for quickly verdict the global solution. In this paper combination of PSO and DE is proposed for quickly finding the global solutions. The multibenchmark, multimodal functions are used to test the performance of the proposed methods. The expected will be less time taken as compare to other algorithm.
Authors and Affiliations
Preeti Soni , Mrs. Minu Choudhary
Keywords
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