Simulation-optimization approach for the stochastic location-routing problem

Simulation-optimization approach for the stochastic location-routing problem

0.00 Avg rating0 Votes
Article ID: iaor201529137
Volume: 9
Issue: 4
Start Page Number: 296
End Page Number: 311
Publication Date: Nov 2015
Journal: Journal of Simulation
Authors: , , ,
Keywords: vehicle routing & scheduling, simulation, combinatorial optimization, heuristics, heuristics: ant systems
Abstract:

The location routing problem with stochastic transportation cost and vehicle travel speeds is considered in this paper. A hybrid solution procedure based on Ant Colony Optimisation (ACO) and Discrete‐Event Simulation (DES) is proposed. After using a sequential heuristic algorithm to solve the location subproblem, the subsequent capacitated vehicle routing problem is solved using ACO. Finally, a DES model evaluates those vehicle routes in terms of their impact on the expected total costs. The approach is tested using well‐known randomly generated datasets. Since no previous works in the literature studied exactly the same SLRP, the proposed procedure is compared against its deterministic version. Numerical results show the efficiency and efficacy of the hybrid ACO‐DES approach.

Reviews

Required fields are marked *. Your email address will not be published.