MINIMIZATION-PROBLEM-WITH-LINEAR-PROGRAMMING This project explores how to solve a real-world linear programming minimization problem using Python. The objective is to find the optimal production ...

The problem of PAPR minimization is well-studied in the literature. However, most of the algorithms have high computational costs, making them impractical for real-time applications. To that end, we ...

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 busbars ...

The cutting-stock problem is the problem of filling an order at minimum cost for specified numbers of lengths of material to be cut from given stock lengths of given cost. When expressed as an integer ...

This paper describes the development of a mixed-integer linear programming (MILP) model for the standard N-job, M-machine flowshop sequencing problem. Based on an earlier all-integer model developed ...

Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it. The traveling salesperson problem is one of the oldest ...