Generalized disjunctive programming (GDP) has been introduced recently as an alternative
model to MINLP for representing discrete/continuous optimization problems. The basic idea …

This paper discusses important hybrid aspects of chemical processing plants. It is outlined
that discrete phenomena occur both on the physical level and in the control of these plants …

A disjunctive programming model is presented for the design of ideal and nonideal
distillation columns in which the feed tray location, number of trays, and operating and …

This paper presents a modeling procedure for the derivation of generalized disjunctive
programming (GDP) models for the optimal design of complex or thermally coupled …

A multiperiod mixed-integer nonlinear programming model for offshore oilfield infrastructure
planning is presented where nonlinear reservoir behavior is incorporated directly into the …

This paper presents a review of advances that have taken place in the mathematical
programming approach to process design and synthesis. A review is first presented on the …

This paper describes a number of key modeling issues for the development of tools for
solving nonlinear discrete/continuous problems where logic/disjunctive constraints are …

The design and planning of offshore oilfield infrastructures includes several discrete
decisions over a long time horizon, as well as complexities arising from nonlinear reservoir …

In this paper, we present two methods to overcome the combinatorial complexity when
solving large discrete optimization problems. The basic idea relies on combining mixed …

Optimization and constraint satisfaction methods are complementary to a large extent, and
there has been much recent interest in combining them. Yet no generally accepted principle …