pickup-delivery-problem

OR-Tools handles pickup and delivery routing by applying mathematical formulations and insertion heuristics. It enforces precedence rules ensuring pickups occur before deliveries, while simultaneously optimizing time windows and vehicle capacity constraints for the fleet.

OR-Tools solves paired pickup and delivery routing for courier services by applying insertion heuristics to optimize fleet routes. It matches specific pickup locations with their corresponding deliveries while strictly enforcing capacity limits and time window constraints.

PDP focuses on optimizing paired pickup and delivery tasks, while VRPPP extends this to optimize routing across an entire vehicle fleet. Both address precedence, capacity, and time window constraints to generate efficient logistics solutions.

Insertion heuristics construct pickup and delivery routes sequentially, offering fast solutions but no guarantee of global optimality. They may struggle to find feasible solutions in highly constrained scenarios involving extremely tight time windows and strict vehicle capacity limits.

You need numpy and OR-Tools to set up pickup and delivery routing optimization. These dependencies provide the mathematical formulations and constraint programming algorithms required to solve VRPPD scenarios with capacity and time window constraints.