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Author Smith, J. ♦ Fogarty, T.C.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1996
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Couplings ♦ Mathematics ♦ Genetic algorithms ♦ Robustness ♦ Optimization methods ♦ Time measurement ♦ Algorithm design and analysis ♦ Genetic mutations ♦ Testing ♦ Encoding
Abstract Analyses recombination strategies resulting from evolving gene linkage on a variety of fitness landscapes with known properties. The evolution of "blocks" of linked genes within a gene-pool makes it possible for the recombination strategy to vary in both the amount of genetic material exchanged during the formation of a new individual and in the number of parents contributing genetic material. The strategies evolved are examined in the light of the known properties of the landscapes. The results obtained explain the previously recorded good performance of the algorithm as a self-adaptive mechanism for function optimisation, as the amount and type of recombination is able to adapt to suit the landscape being searched, unlike conventional "fixed" operators.
Description Author affiliation: Fac. of Comput. Studies & Math., Univ. of the West of England, Bristol, UK (Smith, J.; Fogarty, T.C.)
ISBN 0780329023
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1996-05-20
Publisher Place Japan
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 598.60 kB
Page Count 6
Starting Page 826
Ending Page 831

Source: IEEE Xplore Digital Library