Three effective metaheuristics to solve the multi-depot multi-trip heterogeneous dial-a-ride problem

Mohamed Amine Masmoudi, Manar Hosny, Kris Braekers and Abdelaziz Dammak

Transportation Research Part E: Logistics and Transportation Review, 2016, vol. 96, issue C, 60-80

Abstract: The Heterogeneous Dial-a-Ride Problem (HDARP) is an important problem in reduced mobility transportation. Recently, several extensions have been proposed towards more realistic applications of the problem. In this paper, a new variant called the Multi-Depot Multi-Trip Heterogeneous Dial-a-Ride Problem (MD-MT-HDARP) is considered. A mathematical programming formulation and three metaheuristics are proposed: an improved Adaptive Large Neighborhood Search (ALNS), Hybrid Bees Algorithm with Simulated Annealing (BA-SA), and Hybrid Bees Algorithm with Deterministic Annealing (BA-DA). Extensive experiments show the effectiveness of the proposed algorithms for solving the underlying problem. In addition, they are competitive to the current state-of-the-art algorithm on the MD-HDARP.

Keywords: Vehicle Routing Problem (VRP); Dial-a-Ride Problem (DARP); Metaheuristic; Optimization; Bees Algorithm (BA) (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (23)

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DOI: 10.1016/j.tre.2016.10.002

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