Friday, 1 July 2011

Wseas Transactions

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Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 53-859
Full Name: Gurusamy Jeyakumar
Position: Assistant Professor
Age: ON
Sex: Male
Address: Amrita School of Engineering, Amrita Vishwa Vidyapeetham
Country: INDIA
Tel: +91-9842643901
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E-mail address: g_jeyakumar@cb.amrita.edu
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Title of the Paper: AN EMPIRICAL COMPARATIVE PERFORMANCE ANALYSIS OF DIFFERENTIAL EVOLUTION AND DYNAMIC DIFFERENTIAL EVOLUTION VARIANTS
Authors as they appear in the Paper: G. Jeyakumar C. Shunmuga Velayutham
Email addresses of all the authors: g_jeyakumar@cb.amrita.edu cs_velayutham@cb.amrita.edu
Number of paper pages: 17
Abstract: In this paper we extend the dynamicity of Differential Evolution proposed for DE/rand/1/bin and DE/best/1/bin to five more variants DE/rand/2, DE/best/2, DE/current-to-rand/1, DE/current-to-best/1 and DE/rand-to-best/1. We present an empirical, comparative performance, analysis of fourteen variants of Differential Evolution (DE) and Dynamic Differential Evolution (DDE) algorithms (seven variants with two crossovers – binomial and exponential) to solve unconstrained global optimization problems. The aim is to compare DDE, which employs a dynamic evolution mechanism, against DE and to identify the competitive variants which perform reasonably well on problems with different features. The fourteen variants of DE and DDE are benchmarked on 14 test functions grouped by features - unimodal separable, unimodal nonseparable, multimodal separable and multimodal non-separable. The analysis, which includes mean objective function value, probability of convergence and success !
performance, identifies the competitive variants and shows that DDE variants consistently outperform their classical counter parts.
Keywords: Differential Evolution; dynamic differential evolution; differential mutation strategies; successful runs; probability of convergence
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