Real-Parameter Optimization with Modified Differential Evolution

Author

Chen, Xiaoqing ; Hou, Zhongxi ; Liu, Jianxia

Author_Institution

Coll. of Aerosp. & Mater. Eng., NUDT, Changsha

fYear

2008

fDate

18-21 Nov. 2008

Firstpage

1641

Lastpage

1646

Abstract

In this paper, a modified Differential-Evolution approach to solve numerical optimization problems is presented. The aim of the approach is to increase the probability of each parent to generate a better offspring. This is done by introducing time variant scaling factor F, and using a simple but efficient mutation operator which combines information of the both better and worse solution in the population and also information of the current parent to find new search directions. The performance of the MDE is reported on the set of 25 10-D benchmark functions provided by CEC2005 special session on real parameter optimization.

Keywords

evolutionary computation; optimisation; probability; search problems; modified differential evolution; mutation operator; probability; real-parameter numerical optimization problem; search direction; time variant scaling factor; Aerospace engineering; Aerospace materials; Benchmark testing; Biological cells; Educational institutions; Evolutionary computation; Genetic algorithms; Genetic mutations; Model driven engineering; Stochastic processes; Differential evolution; mutation operator; real-parameter optimization; scaling factor;

fLanguage

English

Publisher

ieee

Conference_Titel

Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for

Conference_Location

Hunan

Print_ISBN

978-0-7695-3398-8

Electronic_ISBN

978-0-7695-3398-8

Type

conf

DOI

10.1109/ICYCS.2008.387

Filename

4709219