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    Gaussian and Cauchy Functions in the Filled Function Method – Why and What Next: On the Example of Optimizing Road Tolls por Flores Muñiz, José Guadalupe, Kalashnikov, Vyacheslav V., Kreinovich, Vladik, Kalashnykova, Nataliya I.

    Publicado 2017
    “…There exist many optimization algorithms, the problem is that these algorithms often end up in a local optimum. One of the promising methods to avoid the local optima is the filled function method, in which we, in effect, first optimize a smoothed version of the objective function, and then use the resulting optimum to look for the optimum of the original function. …”
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