Improved approximation bounds for the Student-Project Allocation problem with preferences over projects

  • Authors:
  • Kazuo Iwama;Shuichi Miyazaki;Hiroki Yanagisawa

  • Affiliations:
  • Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto-shi, Kyoto 606-8501, Japan;Academic Center for Computing and Media Studies, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto-shi, Kyoto 606-8501, Japan;IBM Research - Tokyo, 1623-14 Shimotsuruma, Yamato-shi, Kanagawa 242-8502, Japan

  • Venue:
  • Journal of Discrete Algorithms
  • Year:
  • 2012

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Abstract

Manlove and O@?Malley (2008) [8] proposed the Student-Project Allocation problem with Preferences over Projects (SPA-P). They proved that the problem of finding a maximum stable matching in SPA-P is APX-hard and gave a polynomial-time 2-approximation algorithm. In this paper, we give an improved upper bound of 1.5 and a lower bound of 21/19 (1.1052).