Publication Type : Conference Proceedings
Publisher : Advances in Computer Science and Information Technology
Source : Advances in Computer Science and Information Technology, Springer, Volume 131, p.472–480 (2011)
Url : http://link.springer.com/chapter/10.1007/978-3-642-17857-3_46
Campus : Coimbatore
School : School of Engineering
Center : Research & Projects
Department : Computer Science
Verified : Yes
Year : 2011
Abstract : In this paper, we present an empirical study on convergence nature of Differential Evolution (DE) variants to solve unconstrained global optimization problems. The aim is to identify the convergence behavior of DE variants and compare. We have chosen fourteen benchmark functions grouped by feature: unimodal separable, unimodal nonseparable, multimodal separable and multimodal nonseparable. Fourteen variants of DE were implemented and tested on these problems for dimensions of 30. The variants are well compared by their Convergence Speed, Quality Measure and Population Convergence Measure.
Cite this Research Publication : Dr. Jeyakumar G. and Shanmugavelayutham, C., “Empirical measurements on the convergence nature of differential evolution variants”, Advances in Computer Science and Information Technology, vol. 131. Springer, pp. 472–480, 2011.