In this paper, we survey the main superstructure-based approaches in process system
engineering, with a particular emphasis on the existing literature for automated …

This article first reviews recent developments in process synthesis and discusses some of
the major challenges in the theory and practice in this area. Next, the article reviews key …

This book describes a tool for mathematical modeling: the Python Optimization Modeling
Objects (Pyomo) software. Pyomo supports the formulation and analysis of mathematical …

The next generation of cellular networks will be characterized by softwarized, open, and
disaggregated architectures exposing analytics and control knobs to enable network …

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

Thermal energy storage (TES) for a cooling plant is a crucial resource for load flexibility.
Traditionally, simple, heuristic control approaches, such as the storage priority control which …

A wide range of problems can be modeled as Mixed Integer Linear Programming (MIP)
problems using standard formulation techniques. However, in some cases the resulting MIP …

This paper is motivated by the fact that mixed integer nonlinear programming is an important
and difficult area for which there is a need for developing new methods and software for …

Engineering industries such as petroleum and petrochemicals have strict requirements for
the stability of hydrogen supply to ensure the safety and reliability of system operations …

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 …