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Global and local real-coded genetic algorithms based on parent-centric crossover operators

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  • Garcia-Martinez, C.
  • Lozano, M.
  • Herrera, F.
  • Molina, D.
  • Sanchez, A.M.

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Suggested Citation

  • Garcia-Martinez, C. & Lozano, M. & Herrera, F. & Molina, D. & Sanchez, A.M., 2008. "Global and local real-coded genetic algorithms based on parent-centric crossover operators," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1088-1113, March.
    • Handle: RePEc:eee:ejores:v:185:y:2008:i:3:p:1088-1113
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    References listed on IDEAS

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    1. Francisco J. Solis & Roger J.-B. Wets, 1981. "Minimization by Random Search Techniques," Mathematics of Operations Research, INFORMS, vol. 6(1), pages 19-30, February.
    2. Chelouah, Rachid & Siarry, Patrick, 2003. "Genetic and Nelder-Mead algorithms hybridized for a more accurate global optimization of continuous multiminima functions," European Journal of Operational Research, Elsevier, vol. 148(2), pages 335-348, July.
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    Cited by:

    1. Raghav Prasad Parouha & Pooja Verma, 2022. "An innovative hybrid algorithm for bound-unconstrained optimization problems and applications," Journal of Intelligent Manufacturing, Springer, vol. 33(5), pages 1273-1336, June.
    2. Muangkote, Nipotepat & Sunat, Khamron & Chiewchanwattana, Sirapat & Kaiwinit, Sirilak, 2019. "An advanced onlooker-ranking-based adaptive differential evolution to extract the parameters of solar cell models," Renewable Energy, Elsevier, vol. 134(C), pages 1129-1147.
    3. Xiangtao Li & Minghao Yin, 2016. "Modified differential evolution with self-adaptive parameters method," Journal of Combinatorial Optimization, Springer, vol. 31(2), pages 546-576, February.
    4. Wu Zhu & Jian-an Fang & Yang Tang & Wenbing Zhang & Wei Du, 2012. "Digital IIR Filters Design Using Differential Evolution Algorithm with a Controllable Probabilistic Population Size," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-9, July.

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