DocumentCode
593132
Title
A Fast Opposition-Based Differential Evolution with Cauchy Mutation
Author
Yong Wu ; Bin Zhao ; Jinglei Guo
Author_Institution
Sch. of Autom., Wuhan Univ. of Technol., Wuhan, China
fYear
2012
fDate
6-8 Nov. 2012
Firstpage
72
Lastpage
75
Abstract
Opposition-based Differential Evolution (ODE) has been proved to be an effective method to Differential Evolution (DE) in solving many optimization functions, and it´s faster and more robust convergence than classical DE. In this paper, a fast ODE algorithm (FODE), using a local search method with Cauchy mutation is proposed. The simulation experiments are conducted on a comprehensive set of 10 complex benchmark functions. Compared with ODE, FODE is faster and more robust.
Keywords
evolutionary computation; search problems; DE; cauchy mutation; convergence; fast ODE algorithm; fast opposition-based differential evolution; local search method; Acceleration; Algorithm design and analysis; Benchmark testing; Convergence; Optimization; Sociology; Statistics; Opposition-based Differential Evolution (ODE); cauchy mutation; convergence; local search;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems (GCIS), 2012 Third Global Congress on
Conference_Location
Wuhan
Print_ISBN
978-1-4673-3072-5
Type
conf
DOI
10.1109/GCIS.2012.91
Filename
6449487
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