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An overview of genetic algorithms for the solution of optimisation problems

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  • Simon Mardle

    (University of Portsmouth)

  • Sean Pascoe

    (University of Portsmouth)

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  • Simon Mardle & Sean Pascoe, 1999. "An overview of genetic algorithms for the solution of optimisation problems," Computers in Higher Education Economics Review, Economics Network, University of Bristol, vol. 13(1), pages 16-20.
  • Handle: RePEc:che:chepap:v:13:y:1999:i:1:p:16-20
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    File URL: http://www.economicsnetwork.ac.uk/cheer/ch13_1/ch13_1p16.htm
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    Cited by:

    1. Mardle, S. & Pascoe, S., 2000. "Use of evolutionary methods for bioeconomic optimization models: an application to fisheries," Agricultural Systems, Elsevier, vol. 66(1), pages 33-49, October.
    2. Yan Liu & Yongjiu Feng & Robert Gilmore Pontius, 2014. "Spatially-Explicit Simulation of Urban Growth through Self-Adaptive Genetic Algorithm and Cellular Automata Modelling," Land, MDPI, Open Access Journal, vol. 3(3), pages 1-20, July.
    3. Shareef, Hussain & Islam, Md. Mainul & Mohamed, Azah, 2016. "A review of the stage-of-the-art charging technologies, placement methodologies, and impacts of electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 403-420.

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