Combining biased randomization with meta-heuristics for solving the multi-depot vehicle routing problem

Autor: Juan Pérez, Ángel Alejandro, Barrios Barrios, Barry, Coccola, Mariana, González Martín, Sergio, Faulin Fajardo, Francisco Javier, Bektas, Tolga

Publikováno v: O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

This paper proposes a hybrid algorithm, combining Biased-Randomized (BR) processes with an Iterated Local Search (ILS) meta-heuristic, to solve the Multi-Depot Vehicle Routing Problem (MDVRP). Our approach assumes a scenario in which each depot has u

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3df7a4aa36fe0a2e886fa2c163816853
http://hdl.handle.net/10609/91509