This repository contains a Linear Programming (LP) model designed to minimize energy generation costs while ensuring that electricity demand is met in real-time. The model incorporates renewable ...

The simplex method is a fast and efficient algorithm for solving linear programming. Inspired by the optimization method and the simplex method in Seminar 1, this project considers programming the ...

This paper describes a branch and bound algorithm for the global minimization of a quadratic objective function subject to quadratic constraints over a bounded interval. No assumptions are made ...

Abstract: This research explores the optimal power flow problem in a closed-loop network in south-eastern part of Bangladesh, consisting of six regions connected by transmission lines and using seven ...

The essential features of the branch-and-bound approach to constrained optimization are described, and several specific applications are reviewed. These include integer linear programming (Land-Doig ...

There are diverse notions of optimality we may wish to consider in a given context, and which may have significant impact on the effectiveness or suitability of optimization, including. Q1 How do the ...

ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.

Abstract: Multi-criteria test-suite minimization aims to remove redundant test cases from a test suite based on some criteria such as code coverage, while trying to optimally maintain the capability ...