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The price of fairness for a two-agent scheduling game minimizing total completion time

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Listed:
  • Yubai Zhang

    (East China University of Science and Technology)

  • Zhao Zhang

    (Zhejiang Normal University)

  • Zhaohui Liu

    (East China University of Science and Technology)

Abstract

This paper studies the price of fairness in a two-agent single machine scheduling game. In this game, two agents compete to perform their jobs on a common single machine. Both of the two agents want to minimize their own total completion time. One of them has exactly two jobs. All processing times are positive. We show that all Kalai-Smorodinsky fair schedules can be found in linear time, and its price of fairness equals a half.

Suggested Citation

  • Yubai Zhang & Zhao Zhang & Zhaohui Liu, 2022. "The price of fairness for a two-agent scheduling game minimizing total completion time," Journal of Combinatorial Optimization, Springer, vol. 44(3), pages 2104-2122, October.
    • Handle: RePEc:spr:jcomop:v:44:y:2022:i:3:d:10.1007_s10878-020-00581-5
    DOI: 10.1007/s10878-020-00581-5
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    References listed on IDEAS

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