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2012 International Conference on Computational Intelligence and Software Engineering (CiSE 2012)(E-BOOK)

Wuhan,China,2012-12-142012-12-162012

ISBN: 978-1-61896-036-8 Scientific Research Publishing

E-Book 275pp Pub. Date: December 2012

Category: Computer Science & Communications

Price: $100

Title: An Improved Shuffled Frog Leaping Algorithm Based on Differential Evolution
Source: 2012 International Conference on Computational Intelligence and Software Engineering (CiSE 2012)(E-BOOK) (pp 33-36)
Author(s): HE Bing, School of Mechanical and Electrical Engineering,China University of Mining & Technology,Xuzhou, China;Institute of Mechatronics Engineering,Luzhou Vocational & Technical College,Luzhou, China
Abstract: Shuffled frog leaping algorithm (SFLA) is characterized by simple concept, few control parameters required and easy implement, etc, but has the disadvantage of lower convergence speed and solution accuracy for solving hard and high-dimensional optimization functions. However, differential evolution (DE) algorithm has advantages of strong global search capability and the diversity of the population. Due to its advantages, this paper proposes an improved SFLA (ISFLA) which employs the DE/rand/1/bin (DEr1) scheme as local search operators to enhance convergence speed and solution precision. The proposed ISFLA is tested against six typical hard and 30-dimentional benchmark functions and the results are compared extensively with ones obtained by DEr1 and SFLA to demonstrate its effectiveness and robustness.


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