Please use this identifier to cite or link to this item:
|Title:||A comparative study of crossover in differential evolution|
|Citation:||Lin, C., Qing, A., Feng, Q. (2011-12). A comparative study of crossover in differential evolution. Journal of Heuristics 17 (6) : 675-703. ScholarBank@NUS Repository. https://doi.org/10.1007/s10732-010-9151-1|
|Abstract:||In order to understand the role of crossover in differential evolution, theoretical analysis and comparative study of crossover in differential evolution are presented in this paper. Two new crossover methods, namely consecutive binomial crossover and non-consecutive exponential crossover, are designed. The probability distribution and expectation of crossover length for binomial and exponential crossover used in this paper are derived. Various differential evolution algorithms with different crossover methods including mutation-only differential evolution are comprehensively compared at system level instead of parameter level. Based on the theoretical analysis and simulation results, the effect of crossover on the reliability and efficiency of differential evolution algorithms is discussed. Some insights are revealed. © 2010 Springer Science+Business Media, LLC.|
|Source Title:||Journal of Heuristics|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jun 22, 2018
WEB OF SCIENCETM
checked on May 21, 2018
checked on Jun 14, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.