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International Workshop on Combinatorial Algorithms

IWOCA 2014: Combinatorial Algorithms pp 213-225 | Cite as

Profile-Based Optimal Matchings in the Student/Project Allocation Problem

  • Augustine KwanashieEmail author
  • Robert W.  Irving
  • David F. Manlove
  • Colin T. S. Sng
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8986)

Abstract

In the Student/Project Allocation problem (spa) we seek to assign students to individual or group projects offered by lecturers. Students provide a list of projects they find acceptable in order of preference. Each student can be assigned to at most one project and there are constraints on the maximum number of students that can be assigned to each project and lecturer. We seek matchings of students to projects that are optimal with respect to profile, which is a vector whose rth component indicates how many students have their rth-choice project. We present an efficient algorithm for finding agreedy maximum matching in the spa context – this is a maximum matching whose profile is lexicographically maximum. We then show how to adapt this algorithm to find a generous maximum matching – this is a matching whose reverse profile is lexicographically minimum. Our algorithms involve finding optimal flows in networks. We demonstrate how this approach can allow for additional constraints, such as lecturer lower quotas, to be handled flexibly.

Keywords

Allocation Problem Edge Weight Generous Maximum Maximum Match Preference List 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Augustine Kwanashie
    • 1
    Email author
  • Robert W.  Irving
    • 1
  • David F. Manlove
    • 1
  • Colin T. S. Sng
    • 2
  1. 1.School of Computing ScienceUniversity of GlasgowGlasgowUK
  2. 2.EBay Inc.AustinUSA

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