This book arose from a realization that modeling using mathematical programming should
be tightly linked with algorithms and their software implementation to solve optimization …

With the scaling up of crude oil scheduling in modern refineries, large-scale crude oil
scheduling problems (LSCOSPs) emerge with thousands of binary variables and non-linear …

We present Pyosyn, an open-source framework for systematic superstructure-based process
synthesis, including a new representation, superstructure generation approaches, modeling …

Rapid changes and evolution in technological innovation have spilled over many industries
and compelled firms to release new products periodically. The advent of new products …

Cloud computing plays an essential ole in the development of the Internet of Engs, which
pTovides-data processing and storage services. Fog computing, the evolution of cloud …

In dense urban rail networks with high passenger demands, uncertain disturbances occur
frequently, and the resulting train delays will likely spread over the whole network rapidly …

Different versions of polyhedral outer approximation are used by many algorithms for mixed-
integer nonlinear programming (MINLP). While it has been demonstrated that such methods …

This paper presents the distributed primal outer approximation (DiPOA) algorithm for solving
sparse convex programming (SCP) problems with separable structures, efficiently, and in a …

The design of distribution networks that simultaneously consider location and inventory
decisions seeks to balance costs and product availability. The most commonly observed …

Generating polyhedral outer approximations and solving mixed-integer linear relaxations
remains one of the main approaches for solving convex mixed-integer nonlinear …