DocumentCode
238750
Title
Testing united multi-operator evolutionary algorithms on the CEC2014 real-parameter numerical optimization
Author
Elsayed, Saber M. ; Sarker, Ruhul A. ; Essam, Daryl L. ; Hamza, Noha M.
Author_Institution
Sch. of Eng. & Inf. Technol., Univ. of New South Wales at Canberra, Canberra, ACT, Australia
fYear
2014
fDate
6-11 July 2014
Firstpage
1650
Lastpage
1657
Abstract
This paper puts forward a proposal for combining multi-operator evolutionary algorithms (EAs), in which three EAs, each with multiple search operators, are used. During the evolution process, the algorithm gradually emphasizes on the best performing multi-operator EA, as well as the search operator. The proposed algorithm is tested on the CEC2014 single objective real-parameter competition. The results show that the proposed algorithm has the ability to reach good solutions.
Keywords
evolutionary computation; mathematical operators; CEC2014 real-parameter numerical optimization; CEC2014 single objective real-parameter competition; multiple search operators; united multioperator evolutionary algorithm testing; Algorithm design and analysis; Evolutionary computation; Genetic algorithms; Optimization; Sociology; Statistics; Vectors; evolutionary algorithms; multi-method algorithms; multi-operator algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2014 IEEE Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4799-6626-4
Type
conf
DOI
10.1109/CEC.2014.6900308
Filename
6900308
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