A Python wrapper for the Hybrid Genetic Search algorithm for Capacitated Vehicle Routing Problems (HGS-CVRP)
A Julia wrapper for the Hybrid Genetic Search algorithm for Capacitated Vehicle Routing Problems (HGS-CVRP)
OptiML's contribution to the EURO meets NeurIPS 2022 vehicle routing competition.
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.
SREX-GNN improves Genetic Optimization Algorithms by enabling an Graph Neural Network to select the correct "genes" to cross-over
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