eprintid: 17010
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/70/10
datestamp: 2023-12-19 03:23:29
lastmod: 2023-12-19 03:23:29
status_changed: 2023-12-19 03:07:17
type: article
metadata_visibility: show
creators_name: Ngo, T.S.
creators_name: Jaafar, J.
creators_name: Aziz, I.A.
creators_name: Aftab, M.U.
creators_name: Nguyen, H.G.
creators_name: Bui, N.A.
title: Metaheuristic Algorithms Based on Compromise Programming for the Multi-Objective Urban Shipment Problem
ispublished: pub
note: cited By 7
abstract: The Vehicle Routing Problem (VRP) and its variants are found in many fields, especially logistics. In this study, we introduced an adaptive method to a complex VRP. It combines multi-objective optimization and several forms of VRPs with practical requirements for an urban shipment system. The optimizer needs to consider terrain and traffic conditions. The proposed model also considers customers� expectations and shipper considerations as goals, and a common goal such as transportation cost. We offered compromise programming to approach the multi-objective problem by decomposing the original multi-objective problem into a minimized distance-based problem. We designed a hybrid version of the genetic algorithm with the local search algorithm to solve the proposed problem. We evaluated the effectiveness of the proposed algorithm with the Tabu Search algorithm and the original genetic algorithm on the tested dataset. The results show that our method is an effective decision-making tool for the multi-objective VRP and an effective solver for the new variation of VRP. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
date: 2022
publisher: MDPI
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126591206&doi=10.3390%2fe24030388&partnerID=40&md5=414121f4fdab1327c4b732882146f0e6
id_number: 10.3390/e24030388
full_text_status: none
publication: Entropy
volume: 24
number: 3
refereed: TRUE
issn: 10994300
citation:   Ngo, T.S. and Jaafar, J. and Aziz, I.A. and Aftab, M.U. and Nguyen, H.G. and Bui, N.A.  (2022) Metaheuristic Algorithms Based on Compromise Programming for the Multi-Objective Urban Shipment Problem.  Entropy, 24 (3).   ISSN 10994300