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A Fast Opposition-Based Differential Evolution with Cauchy Mutation.

Authors :
Wu, Yong
Zhao, Bin
Guo, Jinglei
Source :
2012 Third Global Congress on Intelligent Systems; 1/ 1/2012, p72-75, 4p
Publication Year :
2012

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. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISBNs :
9781467330725
Database :
Complementary Index
Journal :
2012 Third Global Congress on Intelligent Systems
Publication Type :
Conference
Accession number :
86595391
Full Text :
https://doi.org/10.1109/GCIS.2012.91