DocumentCode
2337699
Title
Hybrid differential evolution - Particle Swarm Optimization algorithm for solving global optimization problems
Author
Pant, Millie ; Thangaraj, Radha ; Grosan, Crina ; Abraham, Ajith
Author_Institution
Dept. of Paper Technol., IIT Roorkee, Roorkee
fYear
2008
fDate
13-16 Nov. 2008
Firstpage
18
Lastpage
24
Abstract
This paper presents a simple, hybrid two phase global optimization algorithm called DE-PSO for solving global optimization problems. DE-PSO consists of alternating phases of differential evolution (DE) and Particle Swarm Optimization (PSO). The algorithm is designed so as to preserve the strengths of both the algorithms. Empirical results show that the proposed DE-PSO is quite competent for solving the considered test functions as well as real life problems.
Keywords
evolutionary computation; particle swarm optimisation; global optimization problems; hybrid differential evolution; particle swarm optimization algorithm; Algorithm design and analysis; Genetic mutations; Hybrid power systems; Iterative algorithms; Life testing; Paper technology; Particle swarm optimization; Quality of service; Random number generation; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Information Management, 2008. ICDIM 2008. Third International Conference on
Conference_Location
London
Print_ISBN
978-1-4244-2916-5
Electronic_ISBN
978-1-4244-2917-2
Type
conf
DOI
10.1109/ICDIM.2008.4746766
Filename
4746766
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