An adaptive large neighborhood search heuristic for the Pollution-Routing Problem

The Pollution-Routing Problem (PRP) is a recently introduced extension of the classical Vehicle Routing Problem with Time Windows which consists of routing a number of vehicles to serve a set of customers, and determining their speed on each route segment so as to minimize a function comprising fuel, emission and driver costs. This paper presents an adaptive large neighborhood search for the PRP. Results of extensive computational experimentation confirm the efficiency of the algorithm.

► A heuristic algorithm is described for the Pollution-Routing Problem (PRP). ► A speed optimization algorithm is offered to minimize fuel and driver costs. ► The algorithm is highly effective in solving PRP instances of up to 200 nodes.