A repository dedicated to the mathematical modeling and solution of optimization problems, featuring practical examples in Stochastic Programming, Linear Programming (LP), and Mixed-Integer Linear Programming (MILP)

A collection of algorithms and methods for solving combinatorial optimization problems, including techniques for TSP, Knapsack, and other NP-hard problems using heuristics, metaheuristics, and exact methods

A Mixed Integer Linear Programming implementation of the Divisor Graph Longest Path problem

Master's | Basic Algorithms & Data structures | Module 10 | Linear Programming & Randomized Algorithms

Solving Travelling Salesman / Salesperson ( TSP ) - using different algorithms such as Naive ( Brute Force ), Greedy and Integer Programming using Pulp

Projeto para a etapa de seleção da Residência Tecnológica em Ciência de Dados e Analytics para o setor Automotivo.

Inventory-Optimization-Python-Pulp

Solve the shortest path problems using PuLP, a python library used to model linear programming problems

Currency optimization using linear programming and Python packages.

Projects for the Operational Reaserch classess @ PUT

Medical-Center-Problen

A streamlit application to automate the t-shirt distribution process at the Juegos Caribe at the Havana University. The python PuLP library is used to solve the optimization problem.

Max knights on a chessboard problem using Pulp

.A one-stop solution for beginners and employees who are eager to invest wisely.

Dept. of Civil Engineering-CE 5331 Coursework

Maximizing toy production profits with a linear programming approach using PuLP library in Python. Third project for Analysis and Synthesis of Algorithms class.

Project Management Mathematical Modeling Pulp Implementation

Performing

Additional Constaints . Used Dictionary Data-type for data preprocessing