DocumentCode :
1844111
Title :
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
Link To Document :
بازگشت