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Crossover and the different faces of differential evolution searches


Montgomery, J, Crossover and the different faces of differential evolution searches, Proceedings of the IEEE Congress on Evolutionary Computation 2010, 18-23 July 2010, Barcelona, Spain, pp. 1951-1958. ISBN 978-1-4244-6909-3 (2010) [Refereed Conference Paper]

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Copyright 2010 IEEE

DOI: doi:10.1109/CEC.2010.5586184


Common explanations of DE’s search behaviour as its crossover rate Cr is varied focus on the directionality of the search, as low values make moves aligned with a small number of axes while high values search at angles to the axes. While the direction of search is important, an analysis of moves generated by mutating differing numbers of dimensions suggests that the probability of making a successful move is more strongly related to the move’s magnitude than to the number of dimensions in which it occurs. Low Cr moves are generally much smaller than those generated with high values, and more likely to succeed, but moves in many dimensions can produce greater improvements in solution quality. Although DE behaves differently at low and high Cr, both extremes can produce effective searches. Results suggest this is because low Cr searches make frequent, small improvements to all population members while high Cr searches produce less frequent, large improvements, followed by contraction of the population and a resultant reduction in move size. The interaction of F and population size with these different modes of search is investigated and recommendations made to achieve good results with both.

Item Details

Item Type:Refereed Conference Paper
Research Division:Information and Computing Sciences
Research Group:Machine learning
Research Field:Neural networks
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the information and computing sciences
UTAS Author:Montgomery, J (Dr James Montgomery)
ID Code:92115
Year Published:2010
Deposited By:Information and Communication Technology
Deposited On:2014-06-06
Last Modified:2016-01-19

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