A New Chance-Constrained Maximum Capture Location Problem
Rosa Colomé (),
Helena Lourenço () and
Daniel Serra ()
Annals of Operations Research, 2003, vol. 122, issue 1, 139 pages
Abstract:
The paper presents a new model based on the basic Maximum Capture model, MAXCAP. The new Chance-Constrained Maximum Capture model introduces a stochastic threshold constraint, which recognises the fact that a facility can be open only if a minimum level of demand is captured. A metaheuristic based on Max-Min Ant System and Tabu Search procedure is presented to solve the model. This is the first time that the Max-Min Ant system is adapted to solve a location problem. Computational experience and an application to 55-node network are also presented. Copyright Kluwer Academic Publishers 2003
Keywords: stochastic location; capture models (search for similar items in EconPapers)
Date: 2003
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1023/A:1026194423072 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: A new chance-constrained maximum capture location problem (2003) 
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:annopr:v:122:y:2003:i:1:p:121-139:10.1023/a:1026194423072
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479
DOI: 10.1023/A:1026194423072
Access Statistics for this article
Annals of Operations Research is currently edited by Endre Boros
More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().