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Publication Type : Conference Proceedings
Publisher : World Congress on Nature & Biologically Inspired Computing, NaBIC, IEEE,
Source : World Congress on Nature & Biologically Inspired Computing, NaBIC, IEEE, Coimbatore, p.866-871 (2009)
Url : http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5393495
Campus : Coimbatore
School : School of Engineering
Center : Amrita Innovation & Research
Department : Computer Science
Verified : Yes
Year : 2009
Abstract : This paper presents an empirical analysis of the performance of differential evolution (DE) variants on different classes of unconstrained global optimization benchmark problems. This analysis has been undertaken to identify competitive DE variants which perform reasonably well on a range of problems with different features. Towards this, fourteen DE variants were implemented and tested on 14 high dimensional benchmark functions grouped by their modality and decomposability viz., unimodal separable, unimodal nonseparable, multimodal separable and multimodal nonseparable. This extensive performance analysis provides some insight about the competitiveness of DE variants in solving test problems with representative landscape features such as modality and decomposability.
Cite this Research Publication : Dr. Jeyakumar G. and Dr. Shunmuga Velayutham C., “An empirical comparison of differential evolution variants on different classes of unconstrained global optimization problems”, World Congress on Nature & Biologically Inspired Computing, NaBIC. IEEE, Coimbatore, pp. 866-871, 2009.