A Proposed Taxonomy for Literature Review in Multi-Objective Vehicle Routing Problems

Martin, Iris and Wibisono, Eric (2024) A Proposed Taxonomy for Literature Review in Multi-Objective Vehicle Routing Problems. In: Proceedings Of The 8th International Conference On Engineering, Technology, And Industrial Applications 2021 (8th ICETIA 2021): Engineering, Environment, and Health: Exploring the Opportunities for the Future, 15-16 December 2021, Surakarta.

[thumbnail of Eric Wibisono_Proposed Taxonomy.pdf] PDF
Eric Wibisono_Proposed Taxonomy.pdf

Download (1MB)
Official URL / DOI: https://pubs.aip.org/aip/acp/article-abstract/2838...


Vehicle routing problems deal with determining the routing of a fleet of vehicles under a set of constraints to serve geographically dispersed customers. The problems belong to a subset of combinatorial optimization problems and are widely studied due to their academic appeal and numerous applications. The classical version of this subject usually minimizes a single objective in total distance or total cost. However, given that many real-life problems are inherently multi-objective, a variant that considers multiple objectives is getting more attention nowadays. The latest review in this area was in 2008 and more than a decade has now elapsed with the absence of similar study. The objectives of this paper are to summarize the selected new research of multi-objective vehicle routing problems that span beyond 2008 and to propose a taxonomy that can be used to categorize the studies in this area. The proposed taxonomy includes eight criteria covering identification and characteristics of the papers. The findings from the review suggest tendencies toward certain scopes such as time windows formulation (VRPTW), the development of population-based algorithms especially the genetic algorithm and elitist non-dominated sorting genetic algorithm (NSGA-II), and the use of Solomon benchmark instances in the numerical experiment.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: multi-objective optimization; vehicle routing problems; taxonomy
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering > Department of Industrial Engineering
Depositing User: Iris Martin
Date Deposited: 17 Feb 2023 02:41
Last Modified: 02 Apr 2024 03:21
URI: http://repository.ubaya.ac.id/id/eprint/43345

Actions (login required)

View Item View Item