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New dominance rules and exploration strategies for the 1|r i |∑U i scheduling problem

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  • Gio Kao
  • Edward Sewell
  • Sheldon Jacobson
  • Shane Hall

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  • Gio Kao & Edward Sewell & Sheldon Jacobson & Shane Hall, 2012. "New dominance rules and exploration strategies for the 1|r i |∑U i scheduling problem," Computational Optimization and Applications, Springer, vol. 51(3), pages 1253-1274, April.
    • Handle: RePEc:spr:coopap:v:51:y:2012:i:3:p:1253-1274
    DOI: 10.1007/s10589-010-9378-7
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    References listed on IDEAS

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    1. Thomas L. Morin & Roy E. Marsten, 1976. "Branch-and-Bound Strategies for Dynamic Programming," Operations Research, INFORMS, vol. 24(4), pages 611-627, August.
    2. Baptiste, Philippe & Peridy, Laurent & Pinson, Eric, 2003. "A branch and bound to minimize the number of late jobs on a single machine with release time constraints," European Journal of Operational Research, Elsevier, vol. 144(1), pages 1-11, January.
    3. Chris N. Potts & Luk N. Van Wassenhove, 1985. "A Branch and Bound Algorithm for the Total Weighted Tardiness Problem," Operations Research, INFORMS, vol. 33(2), pages 363-377, April.
    4. M'Hallah, Rym & Bulfin, R.L., 2007. "Minimizing the weighted number of tardy jobs on a single machine with release dates," European Journal of Operational Research, Elsevier, vol. 176(2), pages 727-744, January.
    5. Peridy, Laurent & Pinson, Eric & Rivreau, David, 2003. "Using short-term memory to minimize the weighted number of late jobs on a single machine," European Journal of Operational Research, Elsevier, vol. 148(3), pages 591-603, August.
    6. Hiroshi Kise & Toshihide Ibaraki & Hisashi Mine, 1978. "A Solvable Case of the One-Machine Scheduling Problem with Ready and Due Times," Operations Research, INFORMS, vol. 26(1), pages 121-126, February.
    7. Christos Koulamas, 1994. "The Total Tardiness Problem: Review and Extensions," Operations Research, INFORMS, vol. 42(6), pages 1025-1041, December.
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    Cited by:

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    2. Detienne, Boris, 2014. "A mixed integer linear programming approach to minimize the number of late jobs with and without machine availability constraints," European Journal of Operational Research, Elsevier, vol. 235(3), pages 540-552.

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