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    Article

    Improved scatter search for the global optimization of computationally expensive dynamic models

    A new algorithm for global optimization of costly nonlinear continuous problems is presented in this paper. The algorithm is based on the scatter search metaheuristic, which has recently proved to be efficient...

    Jose A. Egea, Emmanuel Vazquez, Julio R. Banga in Journal of Global Optimization (2009)

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    The GLOBAL optimization method revisited

    The multistart clustering global optimization method called GLOBAL has been introduced in the 1980s for bound constrained global optimization problems with black-box type objective function. Since then the tec...

    Tibor Csendes, László Pál, J. Oscar H. Sendín, Julio R. Banga in Optimization Letters (2008)

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    Article

    Scatter search for chemical and bio-process optimization

    Scatter search is a population-based method that has recently been shown to yield promising outcomes for solving combinatorial and nonlinear optimization problems. Based on formulations originally proposed in ...

    Jose A. Egea, María Rodríguez-Fernández, Julio R. Banga in Journal of Global Optimization (2007)