Learn how to use optimization and linear programming to solve problems in science and engineering. Find examples, algorithms, software, and resources.

Linear programming can solve various types of logistics problems, such as transportation, assignment, transshipment, routing, location, and inventory.

The diet problem is one of the first large-scale optimizationproblems to be studied in practice. Back in the 1930’s and 40’s, the Army wanted to meet the nutritional requirements of its soldiers wh ...

Linear Programming using Python PuLP This repository demonstrates how to use Linear programming using python package called pulp for optimization problem Examining real-world challenges reveals that ...

Niv Buchbinder, Kamal Jain, Mohit Singh, Secretary Problems via Linear Programming, Mathematics of Operations Research, Vol. 39, No. 1 (February 2014), pp. 190-206 ...

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 ...

Marshall, Paul W. "Linear Programming: A Technique for Analyzing Resource Allocation Problems." Harvard Business School Background Note 171-322, January 1971. (Revised November 1975 ...

Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep ...