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

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

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

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

Inventory-Optimization-Python-Pulp

Max knights on a chessboard problem using Pulp

Performing

Additional Constaints . Used Dictionary Data-type for data preprocessing

Medical-Center-Problen

pulp training in turkish

This project aims at providing the optimal solution for minimum transportation costing based on two decision variables along with a pictorial overview of the problem. The project uses Excel for dataset cleaning and manipulation as well as python programming for simplex solution and finally, SAS Visual Analytics for visualization.

Dept. of Civil Engineering-CE 5331 Coursework

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

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

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.

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 summary of my work as a summer intern at the data analytics startup GyanData

Otimização de malha logística através de programação linear com restrições buscando o menor custo total para atender clientes