Research Repository

Differential evolution with composite trial vector generation strategies and control parameters

Wang, Y and Cai, Z and Zhang, Q (2011) 'Differential evolution with composite trial vector generation strategies and control parameters.' IEEE Transactions on Evolutionary Computation, 15 (1). 55 - 66. ISSN 1089-778X

[img] PDF (Paper)
CoDE.pdf
Restricted to Repository staff only

Download (264kB)
[img] Archive (ZIP) (matlab code)
codealgorithm.rar
Restricted to Repository staff only

Download (15MB)

Abstract

Trial vector generation strategies and control parameters have a significant influence on the performance of differential evolution (DE). This paper studies whether the performance of DE can be improved by combining several effective trial vector generation strategies with some suitable control parameter settings. A novel method, called composite DE (CoDE), has been proposed in this paper. This method uses three trial vector generation strategies and three control parameter settings. It randomly combines them to generate trial vectors. CoDE has been tested on all the CEC2005 contest test instances. Experimental results show that CoDE is very competitive. © 2010 IEEE.

Item Type: Article
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 13 Jan 2012 11:25
Last Modified: 17 Oct 2019 14:17
URI: http://repository.essex.ac.uk/id/eprint/1970

Actions (login required)

View Item View Item