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The open source AI solver. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems
Optimize specific transports (single depot location, customer locations with pickups and deliveries) and displays the optimal routes for each of your vehicles on the map.
Get started with Timefold quickstarts here. Timefold is the successor of OptaPlanner, by the OptaPlanner team. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems
This project presents an approach to solving the Vehicle Routing Problem (VRP) using various metaheuristics. It explores the creation of efficient delivery routes to serve customers while respecting specific constraints, implementing algorithms such as Tabu Search, Simulated Annealing, and Gradient Descent.
Solving Vehicle Rounting Problem with Time Windows using multiple Classic Heuristic, Metaheuristic algorithms (Hybrid Genetic Search (HGS), Guided Local Search (GLS), Ant Colony Optimisation (ACO), Simulated Annealing (SA)), then comparing result's with each one's results and present it in the graph. This was my master's thesis project.
A solution checker for CVRPTW (Gehring-Homberger) and PDP (Li-Lim) solutions in Sintef format, plus a clone of best known solutions from https://www.sintef.no/projectweb/top/, and an automated table generator for them.