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An overview of genetic algorithms for the solution of optimisation problems


  • Simon Mardle

    (University of Portsmouth)

  • Sean Pascoe

    (University of Portsmouth)


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Suggested Citation

  • 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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    References listed on IDEAS

    1. A. M. Ulph & G. M. Folie, 1980. "Exhaustible Resources and Cartels: An Intertemporal Nash-Cournot Model," Canadian Journal of Economics, Canadian Economics Association, vol. 13(4), pages 645-658, November.
    2. Ferris, Michael C. & Munson, Todd S., 2000. "Complementarity problems in GAMS and the PATH solver," Journal of Economic Dynamics and Control, Elsevier, vol. 24(2), pages 165-188, February.
    3. Rutherford, Thomas F., 1995. "Extension of GAMS for complementarity problems arising in applied economic analysis," Journal of Economic Dynamics and Control, Elsevier, vol. 19(8), pages 1299-1324, November.
    4. Newbery, David M G, 1981. "Oil Prices, Cartels, and the Problem of Dynamic Inconsistency," Economic Journal, Royal Economic Society, vol. 91(363), pages 617-646, September.
    5. Salant, Stephen W, 1976. "Exhaustible Resources and Industrial Structure: A Nash-Cournot Approach to the World Oil Market," Journal of Political Economy, University of Chicago Press, vol. 84(5), pages 1079-1093, October.
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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. 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.
    3. 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.

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