Abstract: An enhanced 0-1 mixed integer linear programming formulation is proposed for the traffic signal optimization problem based on the cell transmission model. The formulation has several new ...

Abstract: The aim of the paper presented herein is to propose a new mixed integer formulation and an efficient metaheuristic for the Biobjective Cumulative Capacitated Vehicle Routing Problem that ...

Integer programming and combinatorial optimization form the backbone of many decision-making and resource allocation problems across diverse fields, from logistics and telecommunications to finance ...

A comprehensive framework for formulating and solving realistic portfolio optimization problems as mixed-integer convex optimization models (MIQP/MISOCP). This project implements a custom ...

The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...

Intensity-modulated proton therapy (IMPT) offers superior dose conformity with reduced exposure to surrounding healthy tissues compared to conventional photon therapy. Improving IMPT delivery ...

This course examines formulation and solution of applicable optimization models, including linear, integer, nonlinear, and network problems, efficient algorithm methods, and use of computer modeling ...

This project focuses on an optimization problem where code has been developed to solve a generalized shortest path problem. Unlike the standard shortest path problem, this version allows cycles and ...