Maximally diverse grouping: an iterated tabu search approach

Gintaras Palubeckis, Armantas Ostreika and Dalius Rubliauskas
Additional contact information
Gintaras Palubeckis: Kaunas University of Technology, Kaunas, Lithuania
Armantas Ostreika: Kaunas University of Technology, Kaunas, Lithuania
Dalius Rubliauskas: Kaunas University of Technology, Kaunas, Lithuania

Journal of the Operational Research Society, 2015, vol. 66, issue 4, 579-592

Abstract: The maximally diverse grouping problem (MDGP) consists of finding a partition of a set of elements into a given number of mutually disjoint groups, while respecting the requirements of group size constraints and diversity. In this paper, we propose an iterated tabu search (ITS) algorithm for solving this problem. We report computational results on three sets of benchmark MDGP instances of size up to 960 elements and provide comparisons of ITS to five state-of-the-art heuristic methods from the literature. The results demonstrate the superiority of the ITS algorithm over alternative approaches. The source code of the algorithm is available for free download via the internet.

Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.palgrave-journals.com/jors/journal/v66/n4/pdf/jors201423a.pdf Link to full text PDF (application/pdf)
http://www.palgrave-journals.com/jors/journal/v66/n4/full/jors201423a.html Link to full text HTML (text/html)
Access to full text is restricted to subscribers.

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:pal:jorsoc:v:66:y:2015:i:4:p:579-592

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/41274

Access Statistics for this article

Journal of the Operational Research Society is currently edited by Tom Archibald and Jonathan Crook

More articles in Journal of the Operational Research Society from Palgrave Macmillan, The OR Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().