DocumentCode
2349137
Title
Adaptive differential evolution and exponential crossover
Author
Tvrdík, Josef
Author_Institution
Dept. of Comput. Sci., Univ. of Ostrava, Ostrava
fYear
2008
fDate
20-22 Oct. 2008
Firstpage
927
Lastpage
931
Abstract
Several adaptive variants of differential evolution are described and compared in two sets of benchmark problems. The influence of exponential crossover on efficiency of the search is studied. The use of both types of crossover together makes the algorithms more robust. Such algorithms are convenient for the real-world problems, where we need an adaptive algorithm applicable without time-wasting parameter tuning.
Keywords
evolutionary computation; optimisation; adaptive algorithms; differential evolution; exponential crossover; time-wasting parameter tuning; Adaptive algorithm; Chromium; Computer science; Constraint optimization; Evolutionary computation; Genetic mutations; Helium; Information technology; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology, 2008. IMCSIT 2008. International Multiconference on
Conference_Location
Wisia
Print_ISBN
978-83-60810-14-9
Type
conf
DOI
10.1109/IMCSIT.2008.4747353
Filename
4747353
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