Parametric optimization of MILP programs and a framework for the parametric optimization of MINLPs

• Published in: Computers & chemical engineering Vol. 22; pp. S205 - S212
• Main Authors: Pertsinidis, A., Grossmann, I.E., McRae, G.J.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Oxford Elsevier Ltd 01.01.1998; Elsevier
• Subjects: Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization; Applied sciences; Chemical engineering; Exact sciences and technology; Operational research and scientific management; Operational research. Management science; Optimization. Search problems; Uncertain system; Sensitivity analysis; Chemical plant; Multiobjective programming; Parametric programming; Linear programming; Mixed integer programming; System synthesis; Non linear programming; Computer aided design; Optimization

Development of parametric optimization tools are essential in process design as they can offer significant analytical results to problems related either to uncertainty or multiple objective optimization. In fact the solution of the pertinent parametric optimization problems is the complete and exact...