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Augmented neural networks for task scheduling

Listed author(s):
  • Agarwal, Anurag
  • Pirkul, Hasan
  • Jacob, Varghese S.
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    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 151 (2003)
    Issue (Month): 3 (December)
    Pages: 481-502

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    Handle: RePEc:eee:ejores:v:151:y:2003:i:3:p:481-502
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    1. Steinhofel, K. & Albrecht, A. & Wong, C. K., 1999. "Two simulated annealing-based heuristics for the job shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 118(3), pages 524-548, November.
    2. Sakawa, Masatoshi & Kubota, Ryo, 2000. "Fuzzy programming for multiobjective job shop scheduling with fuzzy processing time and fuzzy duedate through genetic algorithms," European Journal of Operational Research, Elsevier, vol. 120(2), pages 393-407, January.
    3. Biskup, Dirk, 1999. "Single-machine scheduling with learning considerations," European Journal of Operational Research, Elsevier, vol. 115(1), pages 173-178, May.
    4. Satake, Tsuyoshi & Morikawa, Katsumi & Nakamura, Nobuto, 1994. "Neural network approach for minimizing the makespan of the general job-shop," International Journal of Production Economics, Elsevier, vol. 33(1-3), pages 67-74, January.
    5. Sabuncuoglu, Ihsan & Gurgun, Burckaan, 1996. "A neural network model for scheduling problems," European Journal of Operational Research, Elsevier, vol. 93(2), pages 288-299, September.
    6. Pezzella, Ferdinando & Merelli, Emanuela, 2000. "A tabu search method guided by shifting bottleneck for the job shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 120(2), pages 297-310, January.
    7. Rajendran, Chandrasekharan & Holthaus, Oliver, 1999. "A comparative study of dispatching rules in dynamic flowshops and jobshops," European Journal of Operational Research, Elsevier, vol. 116(1), pages 156-170, July.
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