DocumentCode
618048
Title
Differential evolution: Performances and analyses
Author
Padhye, Nikhil ; Mittal, Payal ; Deb, Kaushik
Author_Institution
Dept. of Mech. Eng., Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear
2013
fDate
20-23 June 2013
Firstpage
1960
Lastpage
1967
Abstract
In this paper, we apply Differential Evolution (DE) algorithm in combination with a recently proposed constraint-handling strategy and study the performance 01´ the resulting algorithm on CEC´13 test suite [1], and other constrained optimization problems. The goal of this exercise is to clearly identify and highlight the challenges encountered with the DE search while solving a range of optimization problems. We emphasize that understanding and resolving fundamental issues of a search procedure and considering the nature of the optimization problems at hand is the key to effective deployment of evolutionary procedures for search and optimization.
Keywords
constraint handling; evolutionary computation; search problems; CEC´13 test suite; DE search algorithm; constrained optimization problems; constraint-handling strategy; differential evolution algorithm; evolutionary procedure; search procedure; Power capacitors; Sociology; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2013 IEEE Congress on
Conference_Location
Cancun
Print_ISBN
978-1-4799-0453-2
Electronic_ISBN
978-1-4799-0452-5
Type
conf
DOI
10.1109/CEC.2013.6557799
Filename
6557799
Link To Document