Operations-Research-Optimization-Modeling-Portfolio A curated portfolio of Optimization and Operations Research projects built during my coursework at The George Washington University. This repository ...

The optimization problem is formulated as a mixed-integer linear program and a test network is solved by branch-and-bound techniques using IBM's MPSX package. Transportation Science published by ...

A comprehensive mixed-integer linear programming (MILP) optimization model for strategic enhancement of the Kitchener-Waterloo Census Metropolitan Area (KWC-CMA) electric vehicle charging network.

Many state-of-the-art Segment Routing (SR) Traffic Engineering (TE) algorithms rely on Linear Program (LP)-based optimization. However, the poor scalability of the latter and the resulting high ...

Successive Linear Programming (SLP), which is also known as the Method of Approximation Programming, solves nonlinear optimization problems via a sequence of linear programs. This paper reports on ...

The purpose of this article is to demystify the complexity behind optimization by illustrating how it works in a case study context. The Situation The North American division of a global manufacturer ...

This paper focuses on the research and application of linear optimization algorithm and grey Wolf optimization algorithm, takes the energy storage system configuration optimization of the park energy ...

Degree Requirements Students enrolled in the Professional MS in Computer Science (MSCPS) program with the Algorithms, Network and Optimization (ANO) subplan must complete 30 credit hours of graduate ...