Publication Type:

Book Chapter

Source:

Advances in Computer Science and Information Technology, Springer, p.472–480 (2011)

URL:

http://link.springer.com/chapter/10.1007/978-3-642-17857-3_46

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.

Notes:

cited By (since 1996)1; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@1145f1fc ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@711e040 Through org.apache.xalan.xsltc.dom.DOMAdapter@26998d60; Conference Code:95934

Cite this Research Publication

G. Jeyakumar and Shanmugavelayutham, C., “Empirical measurements on the convergence nature of differential evolution variants”, in Advances in Computer Science and Information Technology, Springer, 2011, pp. 472–480.