An Ant Colony System Adaptation to Deal with Accessibility Issues After a Disaster

Héctor Muñoz (), Antonio Jiménez-Martín () and Alfonso Mateos ()
Additional contact information
Héctor Muñoz: Universidad Politécnica de Madrid
Antonio Jiménez-Martín: Universidad Politécnica de Madrid
Alfonso Mateos: Universidad Politécnica de Madrid

A chapter in Operations Research Proceedings 2014, 2016, pp 415-421 from Springer

Abstract: Abstract One of the mainMuñoz, Héctor problems relief teamsJiménez-Martín, Antonio face after a naturalMateos, Alfonso or man-made disaster is how to plan rural road repair work to take maximum advantage of the limited available financial and human resources. In this paper we account for the accessibility issue, that is, to maximize the number of survivors that reach the nearest regional center in a minimum time by planning which rural roads should be repaired given the available financial and human resources. This is a combinatorial problem and we propose a first approach to solve it using an ant colony system adaptation. The proposed algorithm is illustrated by means of an example, and its performance is compared with the combination of two metaheuristics, GRASP and VNS.

Date: 2016
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:oprchp:978-3-319-28697-6_58

Ordering information: This item can be ordered from
http://www.springer.com/9783319286976

DOI: 10.1007/978-3-319-28697-6_58

Access Statistics for this chapter

More chapters in Operations Research Proceedings from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().