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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,...
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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...
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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...
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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 ...
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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...
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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...
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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 ...
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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...