DocumentCode
719154
Title
MRLDE for solving engineering optimization problems
Author
Kumar, Pravesh ; Singh, Dimple ; Kumar, Sushil
Author_Institution
Amity Univ., Noida, India
fYear
2015
fDate
15-16 May 2015
Firstpage
760
Lastpage
764
Abstract
MRLDE is an enhanced version of Differential Evolutionary (DE) algorithm which adapts a modified approach for selecting individuals for mutation operation. MRLDE has been successfully tested on various benchmark problems and some real life applications. The objective of this paper is to solving constrained engineering optimization problems using MRLDE. The algorithm is validated using four engineering optimization problems, taken from literature. Pareto-ranking method is used to handle constrained with proposed variant. Results and comparison show the efficiency and effectiveness of the proposed MRLDE for solving such types of problems.
Keywords
Pareto optimisation; evolutionary computation; MRLDE algorithm; Pareto-ranking method; constrained engineering optimization problems; differential evolutionary algorithm; mutation operation; Automation; Convergence; Design optimization; Evolutionary computation; Sociology; Statistics; Engineering optimization problems; differential evolution; mutation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communication & Automation (ICCCA), 2015 International Conference on
Conference_Location
Noida
Print_ISBN
978-1-4799-8889-1
Type
conf
DOI
10.1109/CCAA.2015.7148512
Filename
7148512
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