Adaptive Decision-Making Policies for Stochastic Electric Vehicle Routing with Time Windows Using Genetic Programming
Intelligent transportation systems increasingly rely on electric vehicle fleets operating under uncertain conditions, where routing decisions must adapt to changes in customer demand, service duration, and travel time while satisfying battery, charging, capacity, and time-window constraints. This work extends a genetic...