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    Chapter

    Generalized Disjunctive Programming: Solution Strategies

    Generalized disjunctive programming (GDP) is an extension of the disjunctive programming paradigm developed by Balas. The GDP formulation involves Boolean and continuous variables that are specified in algebra...

    Juan P. Ruiz, Jan-H. Jagla, Ignacio E. Grossmann in Algebraic Modeling Systems (2012)

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    Chapter and Conference Paper

    Tightening the Linear Relaxation of a Mixed Integer Nonlinear Program Using Constraint Programming

    This paper aims at solving a nonconvex mixed integer nonlinear programming (MINLP) model used to solve a refinery crude-oil operations scheduling problem. The model is mostly linear but contains bilinear produ...

    Sylvain Mouret, Ignacio E. Grossmann in Integration of AI and OR Techniques in Con… (2009)

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    Chapter

    Challenges in Enterprise Wide Optimization for the Process Industries

    Enterprisewide optimization (EWO) is a new emerging area that lies at the interface of chemical engineering and operations research, and has become a major goal in the process industries due to the increasing ...

    Ignacio E. Grossmann, Kevin C. Furman in Optimization and Logistics Challenges in t… (2009)

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    Chapter

    Logic Inference and a Decomposition Algorithm for the Resource-Constrained Scheduling of Testing Tasks in the Development of New Pharmaceutical and Agrochemical Products

    In highly regulated industries, such as agrochemical and pharmaceutical, new products have to pass a number of regulatory tests related to safety, efficacy and environmental impact, to gain FDA approval. If a ...

    Christos T. Maravelias, Ignacio E. Grossmann in Handbook on Modelling for Discrete Optimiz… (2006)

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    Chapter

    A Mixed-Integer Nonlinear Programming Approach to the Optimal Planning of Offshore Oilfield Infrastructures

    A multiperiod Mixed Integer Nonlinear Programming (MINLP) model for offshore oilfield infrastructure planning is presented where nonlinear reservoir behavior is incorporated directly into the formulation. Disc...

    Susara A. van den Heever in Handbook on Modelling for Discrete Optimiz… (2006)

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    Chapter and Conference Paper

    Using MILP and CP for the Scheduling of Batch Chemical Processes

    A hybrid framework that uses Mathematical and Constraint Programming for the scheduling of batch chemical processes is proposed. Mathematical programming is used for the high-level optimization decisions (numb...

    Christos T. Maravelias, Ignacio E. Grossmann in Integration of AI and OR Techniques in Con… (2004)

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    Chapter

    Mixed-Integer Nonlinear Programming: A Survey of Algorithms and Applications

    This paper presents an overview of mixed-integer nonlinear programming techniques by first providing a unified treatment of the Branch and Bound, Outer-Approximation, Generalized Benders and Extended Cutting P...

    Ignacio E. Grossmann, Zdravko Kravanja in Large-Scale Optimization with Applications (1997)

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    Chapter

    Global Optimization of Heat Exchanger Networks with Fixed Configuration for Multiperiod Design

    The algorithm for global optimization of heat exchanger networks by Quesada and Grossmann [17] has been extended to multiperiod operation for fixed configuration. Under the assumptions of linear cost function,...

    Ramaswamy R. Iyer, Ignacio E. Grossmann in Global Optimization in Engineering Design (1996)