Reinforcement learning for initializing genetic algorithms in vehicle routing
This work introduces an optimization framework where a reinforcement learning agent is trained on prior instances and quickly generates initial solutions, which are then further optimized by a genetic algorithm, enabling real-time and interactive routing at scale.
Ido Greenberg, P. Sielski, Hugo Linsenmaier et al.
· Communications AI & Computin... · 1 citation