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

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

Inventory-Optimization-Python-Pulp

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

Max knights on a chessboard problem using Pulp

Performing

Additional Constaints . Used Dictionary Data-type for data preprocessing

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.

Medical-Center-Problen

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 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