메뉴 건너뛰기




Volumn 42, Issue 20, 2004, Pages 4295-4313

Synergy between evolutionary optimization and induction graphs learning for simulated manufacturing systems

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DECISION MAKING; GRAPH THEORY; LEARNING SYSTEMS; OPTIMIZATION;

EID: 13644277109     PISSN: 00207543     EISSN: None     Source Type: Journal    
DOI: 10.1080/00207540410001708489     Document Type: Article
Times cited : (14)

References (39)
  • 1
    • 0002123466 scopus 로고    scopus 로고
    • Simulation optimization
    • J. Banks (ed.) (New York: Wiley)
    • ANDRADOTTIR, S., 1998, Simulation optimization. In J. Banks (ed.), Handbook of simulation (New York: Wiley), pp. 307-334.
    • (1998) Handbook of Simulation , pp. 307-334
    • Andradottir, S.1
  • 3
    • 0033078286 scopus 로고    scopus 로고
    • Simulation optimization with qualitative variables and structural model changes: A genetic algorithm approach
    • AZADIVAR, F. and TOMPKINS, G., 1999, Simulation optimization with qualitative variables and structural model changes: a genetic algorithm approach. European Journal of Operational Research, 113, 169-192.
    • (1999) European Journal of Operational Research , vol.113 , pp. 169-192
    • Azadivar, F.1    Tompkins, G.2
  • 7
    • 0001899537 scopus 로고    scopus 로고
    • Evolutionary learning of fuzzy rules: Competition and cooperation
    • Norwell, MA: Kluwer Academic Publishers
    • BONARINI, A., 1997, Evolutionary learning of fuzzy rules: competition and cooperation. In Fuzzy Modelling: Paradigms and Practice (Norwell, MA: Kluwer Academic Publishers).
    • (1997) Fuzzy Modelling: Paradigms and Practice
    • Bonarini, A.1
  • 11
    • 0028338155 scopus 로고
    • An introduction to simulated evolutionary optimization
    • FOGEL, D. B., 1994, An introduction to simulated evolutionary optimization. IEEE Transactions on Neural Networks, 5, 3-14.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , pp. 3-14
    • Fogel, D.B.1
  • 13
    • 0012260296 scopus 로고    scopus 로고
    • Optimization for simulation: Theory vs. practice
    • Fu, M. C., 2002, Optimization for simulation: theory vs. practice, INFORMS Journals on Computing, 14, 192-215.
    • (2002) INFORMS Journals on Computing , vol.14 , pp. 192-215
    • Fu, M.C.1
  • 16
    • 0004215426 scopus 로고    scopus 로고
    • Norwell, MA: Kluwer Academic Publishers
    • GLOVER, F. and LAGUNA, M., 1998, Tabu Search (Norwell, MA: Kluwer Academic Publishers).
    • (1998) Tabu Search
    • Glover, F.1    Laguna, M.2
  • 19
    • 0034301652 scopus 로고    scopus 로고
    • A framework for the description of evolutionary algorithms
    • HERTZ, A. and KOBLER, D., 2000, A framework for the description of evolutionary algorithms. European Journal of Operational Research, 126, 1-12.
    • (2000) European Journal of Operational Research , vol.126 , pp. 1-12
    • Hertz, A.1    Kobler, D.2
  • 23
    • 0012735729 scopus 로고    scopus 로고
    • Genetic optimization of fuzzy policies in models of managed systems
    • Helsinki, Espoo, Finland
    • LEFÈVRE, J. and WELLER, P., 1998, Genetic optimization of fuzzy policies in models of managed systems. Proceedings of EUROSIM 1998, Helsinki, Espoo, Finland, 1, 1-6.
    • (1998) Proceedings of EUROSIM 1998 , vol.1 , pp. 1-6
    • Lefèvre, J.1    Weller, P.2
  • 25
    • 0033884705 scopus 로고    scopus 로고
    • Learnable Evolution Model: Evolutionary processes guided by machine learning
    • MICHALSKI, R. S., 2000, Learnable Evolution Model: evolutionary processes guided by machine learning. Machine Learning, 38, 9-40.
    • (2000) Machine Learning , vol.38 , pp. 9-40
    • Michalski, R.S.1
  • 28
    • 0035872166 scopus 로고    scopus 로고
    • Dealing with design options in the optimization of manufacturing systems: An evolutionary approach
    • PARIS, J.-L. and PIERREVAL, H., 2001, Dealing with design options in the optimization of manufacturing systems: an evolutionary approach. International Journal of Production Research, 39, 1081-1094.
    • (2001) International Journal of Production Research , vol.39 , pp. 1081-1094
    • Paris, J.-L.1    Pierreval, H.2
  • 30
    • 0025441492 scopus 로고
    • A simulation and learning technique for generating knowledge about manufacturing system's behavior
    • PIERREVAL, H. and RALAMBONDRAINY, H., 1990, A simulation and learning technique for generating knowledge about manufacturing system's behavior. Journal of Operational Research Society, 41, 461-474.
    • (1990) Journal of Operational Research Society , vol.41 , pp. 461-474
    • Pierreval, H.1    Ralambondrainy, H.2
  • 32
    • 33744584654 scopus 로고
    • Induction of decision trees
    • QUINLAN, J. R., 1986, Induction of decision trees. Machine Learning, 1, 81-106.
    • (1986) Machine Learning , vol.1 , pp. 81-106
    • Quinlan, J.R.1
  • 34
    • 0032158042 scopus 로고    scopus 로고
    • Simulation optimization using a genetic algorithm
    • RAY, J. P. and CHANEV, T. S., 1998, Simulation optimization using a genetic algorithm. Simulation Practice and Theory, 6, 601-611.
    • (1998) Simulation Practice and Theory , vol.6 , pp. 601-611
    • Ray, J.P.1    Chanev, T.S.2
  • 37
    • 0029520976 scopus 로고
    • Using evolutionary algorithm and simulation to optimize manufacturing systems
    • Paris, France, 10-13 October
    • TAUTOU, L. and PIERREVAL, H., 1995, Using evolutionary algorithm and simulation to optimize manufacturing systems. Proceedings of the Conference INRIA/IEEE ETFA '95, Paris, France, 10-13 October, 3, pp. 509-516.
    • (1995) Proceedings of the Conference INRIA/IEEE ETFA '95 , vol.3 , pp. 509-516
    • Tautou, L.1    Pierreval, H.2
  • 38


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.