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The Heterogeneous Fleet Vehicle Routing Problem (HFVRP) is an importantvariant of the classical Capacitated Vehicle Routing Problem (CVRP) that aimsto find routes that minimize the total traveling cost of a heterogeneous fleetof vehicles. This problem is of great interest given its importance in manyindustrial and commercial applications. In this paper, we present an AdaptiveIterated Local Search (AILS) heuristic for the HFVRP. AILS is a localsearch-based meta-heuristic that achieved good results for the CVRP. The maincharacteristic of AILS is its adaptive behavior that allows the adjustment ofthe diversity control of the solutions explored during the search process. Theproposed AILS for the HFVRP was tested on benchmark instances containing up to360 customers. The results of computational experiments indicate that AILSoutperformed state-of-the-art metaheuristics on 87\% of the instances.

An Adaptive Iterated Local Search Heuristic for the Heterogeneous Fleet Vehicle Routing Problem