Pareto optimality in house allocation problems

Abraham, D.J., Cechlarova, K., Manlove, D.F. and Mehlhorn, K. (2004) Pareto optimality in house allocation problems. In: Proceedings of ISAAC 2004: the 15th Annual International Symposium on Algorithms and Computation, Hong Kong, 20-22 December, 2004, pp. 3-15. ISBN 3-540-24131-0

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Abstract

We study Pareto optimal matchings in the context of house allocation problems. We present an O(\sqrt{n}m) algorithm, based on Gales Top Trading Cycles Method, for finding a maximum cardinality Pareto optimal matching, where n is the number of agents and m is the total length of the preference lists. By contrast, we show that the problem of finding a minimum cardinality Pareto optimal matching is NP-hard, though approximable within a factor of 2. We then show that there exist Pareto optimal matchings of all sizes between a minimum and maximum cardinality Pareto optimal matching. Finally, we introduce the concept of a signature, which allows us to give a characterization, checkable in linear time, of instances that admit a unique Pareto optimal matching.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Manlove, Dr David
Authors: Abraham, D.J., Cechlarova, K., Manlove, D.F., and Mehlhorn, K.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science
Research Group:Formal Analysis, Theory and Algorithms
Publisher:Springer Verlag
ISSN:0302-9743
ISBN:3-540-24131-0
Copyright Holders:© Springer-Verlag
First Published:First published in the Lecture Notes in Computer Science 3341:3-15
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher.
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