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Volumn , Issue , 2008, Pages 2004-2011

Simulation optimization for industrial scheduling using hybrid genetic representation

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX SCHEDULING; DISPATCHING RULES; GENETIC REPRESENTATIONS; HYBRID METHODS; INDUSTRIAL CASE STUDIES; META-HEURISTIC SEARCH ALGORITHMS; OPERATION PLANS; OPTIMAL DISPATCHING; REAL-WORLD SYSTEMS; SCHEDULING PROBLEMS; SHOP FLOORS; SIMULATION MODELING; SIMULATION MODELS; SIMULATION OPTIMIZATIONS; SIMULATION-BASED; TIME PERIODS;

EID: 60749101234     PISSN: 08917736     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WSC.2008.4736295     Document Type: Conference Paper
Times cited : (10)

References (12)
  • 2
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    • A genetic algorithm based procedure for more realistic job shop scheduling problems
    • Candido, M. A. B., S. K. Khator, and R. M. Barcia. 1998. A genetic algorithm based procedure for more realistic job shop scheduling problems. International Journal of Production Research 36 (12):3437-3457.
    • (1998) International Journal of Production Research , vol.36 , Issue.12 , pp. 3437-3457
    • Candido, M.A.B.1    Khator, S.K.2    Barcia, R.M.3
  • 3
    • 0031246589 scopus 로고    scopus 로고
    • Design of efficient job shop scheduling rules
    • Holtaus, O. 1997. Design of efficient job shop scheduling rules. Computers and Industrial Engineering 33 (1- 2): 2492-252.
    • (1997) Computers and Industrial Engineering , vol.33 , Issue.1-2 , pp. 2492-3252
    • Holtaus, O.1
  • 4
    • 34548692311 scopus 로고    scopus 로고
    • A comparison of dispatching rules and genetic algorithms for job shop schedules of standard hydraulic cylinders
    • Kim, I., J. Watada, and T. Shigaki. 2007. A comparison of dispatching rules and genetic algorithms for job shop schedules of standard hydraulic cylinders. Soft Computing 12:121-128.
    • (2007) Soft Computing , vol.12 , pp. 121-128
    • Kim, I.1    Watada, J.2    Shigaki, T.3
  • 5
    • 0002573145 scopus 로고    scopus 로고
    • Simulation and scheduling
    • ed. J. Banks, New York: John Wiley and Sons, Inc
    • Kiran, A. S. 1998. Simulation and scheduling. In Handbook of Simulation, ed. J. Banks, 677-717, New York: John Wiley and Sons, Inc.
    • (1998) Handbook of Simulation , pp. 677-717
    • Kiran, A.S.1
  • 6
    • 0041539624 scopus 로고    scopus 로고
    • Database driven simulation/simulation-based scheduling of a job-shop
    • Elsevier
    • Koh, K-H., R. Souza, and N-C. Ho. 1996. Database driven simulation/simulation-based scheduling of a job-shop, Simulation Practice and Theory 4:31-45. Elsevier.
    • (1996) Simulation Practice and Theory , vol.4 , pp. 31-45
    • Koh, K.-H.1    Souza, R.2    Ho, N.-C.3
  • 8
    • 0003054955 scopus 로고
    • A survey of scheduling rule
    • Panwalkar, S. and I. Wafik. 1977. A survey of scheduling rule. Operations Research 25 (1):45-61.
    • (1977) Operations Research , vol.25 , Issue.1 , pp. 45-61
    • Panwalkar, S.1    Wafik, I.2
  • 9
    • 0034429504 scopus 로고    scopus 로고
    • Robust design: Seeking the best of all possible worlds
    • ed. J. A. Joines, R. R. Barton, K. Kang, and P. A. Fishwick
    • Sanchez, S. M. 2000. Robust design: Seeking the best of all possible worlds. In Proceedings of the 2000 Winter Simulation Conference, ed. J. A. Joines, R. R. Barton, K. Kang, and P. A. Fishwick, 69-76.
    • (2000) Proceedings of the 2000 Winter Simulation Conference , pp. 69-76
    • Sanchez, S.M.1
  • 11
    • 7444269591 scopus 로고    scopus 로고
    • Hybrid evolutionary algorithm-based real-world flexible job shop scheduling problem: Application service provider approach
    • Tanev, I. T., T. Uozumi, and Y. Morotome. 2004. Hybrid evolutionary algorithm-based real-world flexible job shop scheduling problem: application service provider approach. Applied Soft Computing 5:87-100.
    • (2004) Applied Soft Computing , vol.5 , pp. 87-100
    • Tanev, I.T.1    Uozumi, T.2    Morotome, Y.3
  • 12
    • 38849162891 scopus 로고    scopus 로고
    • Evolving dispatching rules using genetic programming for solving multiobjective flexible job-shop problems
    • Tay, J. C. and N. B. Ho. 2008. Evolving dispatching rules using genetic programming for solving multiobjective flexible job-shop problems. Computers and Industrial Engineering 54:453-473.
    • (2008) Computers and Industrial Engineering , vol.54 , pp. 453-473
    • Tay, J.C.1    Ho, N.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.