Please use this identifier to cite or link to this item: https://doi.org/10.1007/s10898-010-9535-7
Title: A new differential mutation base generator for differential evolution
Authors: Lin, C.
Qing, A. 
Feng, Q.
Keywords: Best of random
Differential evolution
Differential mutation
Diversity
Issue Date: Jan-2011
Citation: Lin, C., Qing, A., Feng, Q. (2011-01). A new differential mutation base generator for differential evolution. Journal of Global Optimization 49 (1) : 69-90. ScholarBank@NUS Repository. https://doi.org/10.1007/s10898-010-9535-7
Abstract: A new differential mutation base strategy for differential evolution (DE), namely best of random, is proposed. The best individual among several randomly chosen individuals is chosen as the differential mutation base while the other worse individuals are donors for vector differences. Hence both good diversity and fast evolution speed can be obtained in DE using the new differential mutation base. A comprehensive comparative study is carried out over a set of benchmark functions. Numerical results show that a better balance of reliability and efficiency can be obtained in differential evolution implementing the new generator of differential mutation base, especially in functions with high dimension. © 2010 Springer Science+Business Media, LLC.
Source Title: Journal of Global Optimization
URI: http://scholarbank.nus.edu.sg/handle/10635/114980
ISSN: 09255001
DOI: 10.1007/s10898-010-9535-7
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