DocumentCode
2823004
Title
An Algorithm Based on Differential Evolutionary for Constrained Optimization
Author
Min, Tao ; Yang, Xiaoli ; Lu, Hongpeng ; Wu, Miao
Author_Institution
Sch. of Sci., Xi´´an Univ. of Technol., Xi´´an, China
Volume
2
fYear
2009
fDate
24-26 April 2009
Firstpage
649
Lastpage
651
Abstract
In order to solve the optimization problems with constraint, a constrained differential evolutionary (CDE) algorithm is presented in this paper. By introducing constraint handling based upon the differential evolutionary (DE) algorithm, the CDE algorithm can find the optimal solution within a fairly short period of time. Empirical results show that the CDE algorithm is an effective, general and robust method.
Keywords
evolutionary computation; constrained differential evolutionary; constrained optimization; constraint handling; Constraint optimization; Control engineering; Evolutionary computation; Genetic algorithms; Genetic mutations; Lagrangian functions; Optimization methods; Robustness; Statistics; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location
Sanya, Hainan
Print_ISBN
978-0-7695-3605-7
Type
conf
DOI
10.1109/CSO.2009.93
Filename
5194033
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