Maximally diverse grouping: an iterated tabu search approach
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.
Year of publication: |
2015
|
---|---|
Authors: | Palubeckis, Gintaras ; Ostreika, Armantas ; Rubliauskas, Dalius |
Published in: |
Journal of the Operational Research Society. - Palgrave Macmillan, ISSN 0160-5682. - Vol. 66.2015, 4, p. 579-592
|
Publisher: |
Palgrave Macmillan |
Saved in:
Saved in favorites
Similar items by person
-
Maximally diverse grouping : an iterated tabu search approach
Palubeckis, Gintaras, (2015)
-
Lietuvos mokesčių administratoriaus mokestinio patikrinimo modelio sukūrimas ir tyrimas
Nikonov, Jevgenij, (2011)
-
A branch-and-bound algorithm for the minimum cut linear arrangement problem
Palubeckis, Gintaras, (2012)
- More ...