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Optimization and analysis aid via data-mining for simulated production systems

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  • Huyet, A.L.

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  • Huyet, A.L., 2006. "Optimization and analysis aid via data-mining for simulated production systems," European Journal of Operational Research, Elsevier, vol. 173(3), pages 827-838, September.
    • Handle: RePEc:eee:ejores:v:173:y:2006:i:3:p:827-838
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    References listed on IDEAS

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    1. Kleijnen, Jack P.C., 1992. "Sensitivity analysis of simulation experiments: regression analysis and statistical design," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 34(3), pages 297-315.
    2. Hertz, Alain & Kobler, Daniel, 2000. "A framework for the description of evolutionary algorithms," European Journal of Operational Research, Elsevier, vol. 126(1), pages 1-12, October.
    3. Fontanili, F. & Vincent, A. & Ponsonnet, R., 2000. "Flow simulation and genetic algorithm as optimization tools," International Journal of Production Economics, Elsevier, vol. 64(1-3), pages 91-100, March.
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    Cited by:

    1. Branke, Juergen & Pickardt, Christoph W., 2011. "Evolutionary search for difficult problem instances to support the design of job shop dispatching rules," European Journal of Operational Research, Elsevier, vol. 212(1), pages 22-32, July.
    2. Meisel, Stephan & Mattfeld, Dirk, 2010. "Synergies of Operations Research and Data Mining," European Journal of Operational Research, Elsevier, vol. 206(1), pages 1-10, October.

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