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    Article

    Data-driven construction of Convex Region Surrogate models

    With the increasing trend of solving more complex and integrated optimization problems, there is a need for develo** process models that are sufficiently accurate as well as computationally efficient. In thi...

    Qi Zhang, Ignacio E. Grossmann, Arul Sundaramoorthy in Optimization and Engineering (2016)

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    Chapter

    Nonconvex Generalized Benders Decomposition

    This chapter gives an overview of an extension of Benders decomposition (BD) and generalized Benders decomposition (GBD) to deterministic global optimization of nonconvex mixed-integer nonlinear programs (MINL...

    **ang Li, Arul Sundaramoorthy, Paul I. Barton in Optimization in Science and Engineering (2014)