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  • A random key based estimation of distribution algorithm for the permutation flowshop scheduling problem. 

    Ayodele, Mayowa; McCall, John; Regnier-Coudert, Olivier; Bowie, Liam (IEEE https://doi.org/10.1109/CEC.2017.7969591, 2017-06-05)
    AYODELE, M., MCCALL, J., REGNIER-COUDERT, O. and BOWIE, L. 2017. A random key based estimation of distribution algorithm for the permutation flowshop scheduling problem. In Proceedings of the IEEE congress on evolutionary computation (CEC 2017), 5-8 June 2017, San Sebastian, Spain. New York: IEEE [online], pages 2364-2371. Available from: https://doi.org/10.1109/CEC.2017.7969591
    Random Key (RK) is an alternative representation for permutation problems that enables application of techniques generally used for continuous optimisation. Although the benefit of RKs to permutation optimisation has been ...