A Multi-start Algorithm with Intelligent Neighborhood Selection for solving multi-objective humanitarian vehicle routing problems

J. Molina (), A. D. López-Sánchez, A. G. Hernández-Díaz and I. Martínez-Salazar
Additional contact information
J. Molina: Universidad de Málaga
A. D. López-Sánchez: Universidad de Málaga
A. G. Hernández-Díaz: Universidad de Málaga
I. Martínez-Salazar: Universidad de Málaga

Journal of Heuristics, 2018, vol. 24, issue 2, No 1, 133 pages

Abstract: Abstract In this paper, a problem based on real-world situations in humanitarian logistics is considered, where the main characteristics are the lack of available vehicles and the imperative need of a quick evacuation of all the affected by a disaster, but within the minimum possible travel cost. These aspects will be considered within a Multi-objective Capacitated Vehicle Routing Problem with Multiple Trips, where the objectives under consideration are: minimization of the number of vehicles, of the total travel cost and of the maximum latency. We consider, in this situation, maximum latency to be more relevant than classic latency criteria since reduction of the waiting time of the last affected is crucial for survival when any disaster strikes. For the purpose of producing high-quality solutions, a Multi-start Algorithm with Intelligent Neighborhood Selection is specifically designed and then compared with one of the most competitive reference in the literature, NSGA-II, to prove its superiority.

Keywords: Humanitarian logistics; Vehicle routing problem; Metaheuristic; Multi-objective optimization; Local search; NSGA-II (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s10732-017-9360-y Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joheur:v:24:y:2018:i:2:d:10.1007_s10732-017-9360-y

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10732

DOI: 10.1007/s10732-017-9360-y

Access Statistics for this article

Journal of Heuristics is currently edited by Manuel Laguna

More articles in Journal of Heuristics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().