Constraint programming is a powerful paradigm for solving combinatorial search problems
that draws on a wide range of techniques from artificial intelligence, computer science …

In this paper, we address the problem of optimal synthesis of an integrated water system,
where water using processes and water treatment operations are combined into a single …

Publisher Summary This chapter reviews that number of operations research (OR) methods
have found their way into constraint programming (CP). This development is entirely natural …

We consider the problem of optimal investment and operational planning for development of
gas fields under uncertainty in gas reserves. Assuming uncertainties in the size and initial …

This paper addresses the optimal operation of multiproduct supply chain systems, using
Model Predictive Control (MPC). The supply chain considered in this paper is a hybrid …

We propose a solution method for a water-network optimization problem using a nonconvex
continuous NLP relaxation and an MINLP search. We report successful computational …

This paper presents a new multiple time grid continuous time MILP model for the shortterm
scheduling of single or multistage, multiproduct plants. It can handle both release and due …

Often, it is very difficult to pose a model for a system even after the system is conceptually
understood. The reason is the mathematical languages we employ have few forms of …

Process synthesis, when first emerged as a separate research area, was defined as “the act
of determining the optimal interconnection of processing units as well as the optimal unit …

The traditional auction protocols (aka Dutch, English auctions) that Ebay, Amazon and
Yahoo use; although considered success stories [9], have limited negotiation space: The …