arnobt78/Vehicle-Routing-Problem-Time-Windows-Solver-Comparison--VRPTW-Python-React

A full-stack (R&D) Vehicle Routing Problem with Time Windows (VRPTW) comparison platform. Run and benchmark metaheuristic algorithms HGS, ACO, SA, GLS (v0.6.3) & ILS (v0.13+), visualize routes, tune parameters, and explore Solomon benchmark datasets—with an optional AI-assisted RAG Q&A and parameter tuning capabilities.

39
/ 100
Emerging

This platform helps logistics managers and operations planners optimize vehicle routes for deliveries or services, considering factors like specific delivery time windows and vehicle capacity. You input customer locations, time window requirements, and vehicle details, and it outputs efficient routes, allowing you to compare different optimization strategies. It's designed for professionals who need to minimize costs and maximize efficiency in their daily operations.

Use this if you need to plan complex delivery or service routes for a fleet of vehicles while adhering to strict customer time windows and want to evaluate the performance of different optimization algorithms.

Not ideal if you're looking for a simple route planner for personal use or if your routing problems do not involve complex constraints like time windows or vehicle capacity.

logistics planning delivery route optimization fleet management supply chain efficiency transportation analytics
No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 8 / 25

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Last pushed

Feb 21, 2026

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