Authors: Brimberg, Jack
Mladenović, Nenad 
Todosijević, Raca 
Urošević, Dragan 
Affiliations: Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Variable neighborhood descent for the capacitated clustering problem
Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 9869 LNCS
First page: 336
Last page: 349
Conference: 9th International Conference on Discrete Optimization and Operations Research, DOOR 2016; Vladivostok; Russian Federation; 19 September 2016 through 23 September 2016
Issue Date: 1-Jan-2016
Rank: M33
ISBN: 978-3-319-44913-5
ISSN: 0302-9743
DOI: 10.1007/978-3-319-44914-2_27
Abstract: 
In this paper we propose a Variable neighborhood descent based heuristic for the capacitated clustering problem and related handover minimization problem. The performance of the proposed approach is assessed on benchmark instances from the literature. The obtained results confirm that of our approach is highly competitive with the state of-the-art methods, significantly outperforming all of them on the set of randomly-generated instances tested.
Keywords: Clustering | Heuristic | Optimization | Variable neighborhood descent
Publisher: Springer Link

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