This paper has as a major objective to present a unified overview and derivation of mixed-
integer nonlinear programming (MINLP) techniques, Branch and Bound, Outer …

In this paper two strategies are presented to reduce the combinatorial complexity when
solving single stage and multistage optimization scheduling problems that involve cost …

Because of their complementary strengths, optimization and constraint programming can be
profitably merged. Their integration has been the subject of increasing commercial and …

The need for improvement in process operations, logistics and supply chain management
has created a great demand for the development of optimization models for planning and …

This paper introduces a method for constrained optimization using a modified multi-objective
algorithm. The algorithm treats the constraints as objective functions and handles them …

The retrofit design of a network of processes over several time periods is addressed in this
paper. A strategy is proposed that consists of a high level to analyze the entire network and …

Pipelines provide an economic mode of fluid transportation for petroleum systems, specially
when large amounts of these products have to be pumped for large distances. The system …

A methodology is proposed for implementing logic and engineering knowledge within a
Branch-and-Bound algorithm and with a purpose to accelerate convergence. The …

This paper presents a new method for handling removable discontinuities in non-convex
mixed integer non-linear programming (MINLP) models for chemical process synthesis and …

The separation of a non-azeotropic mixture of N components in their pure components can
be performed using from conventional to fully thermally coupled distillation sequences, while …