irb-lab/py-ga-vrptw

py-ga-VRPTW solves vehicle-routing-with-time-windows instances using a genetic algorithm. A user runs a sample entry point, which configures costs and GA parameters and calls the solver; the solver loads an instance, evolves customer-order chromosomes, decodes and scores routes, then prints the best route and optionally exports generation metrics. The repository also supports Solomon benchmark data and custom text-to-JSON conversion. The graph follows documented capabilities and shown calls; unsampled solver details are represented only where the excerpts or README support them.