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A Novel Flexible Experiment Design Method

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Model Design and Simulation Analysis (AsiaSim 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 603))

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Abstract

Latin Hypercube Design (LHD) is a traditional method of Design Of Experiments (DOE) and is often employed in system analysis. However, this method imposes restriction on experiment trials and needs much computation capacity to obtain the optimal design. A novel experiment design method called ETPLHD is proposed in this paper to solve this problem. ETPLHD can control the number of design points and thus presents more flexibility to control the number of experiment trails, which is more efficient compared to the fixed experiment trails in the traditional LHD method for a same design space. An experiment was conducted to compare ETPLHD with the other two experiment design algorithms. The results showed that TPLHD reveals high design performance and less time consumption.

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References

  1. Sanchez, S.M., Wan, H.: Work smarter, not harder: a tutorial on designing and conducting simulation experiments. In: Proceedings of the 2012 Winter Simulation Conference, pp. 1–15 (2012)

    Google Scholar 

  2. Ghosh, S.P., Tuel, W.G.: A design of an experiment to model data base system performance. IEEE Trans. Softw. Eng. SE-2(2), 97–106 (1976)

    Google Scholar 

  3. McKay, M.D., Beckman, R.J.: A comparison of three methods for selecting values of input variables from a computer code. Technometrics 21(2), 239–245 (1979)

    MathSciNet  MATH  Google Scholar 

  4. Kelton, W.D.: Designing simulation experiments. In: Proceedings of the 1999 Winter Conference, pp. 33–38 (1999)

    Google Scholar 

  5. Park, J.S.: Optimal Latin-hypercube designs for computer experiments. J. Stat. Plann. Inference 30(1), 95–111 (1994)

    Article  MathSciNet  MATH  Google Scholar 

  6. Morris, M.D., Mitchell, T.J.: Exploratory designs for computational experiments. J. Stat. Plann. Inference 43(3), 381–402 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  7. Bates, S.J., Sienz, J., Toropov, V.V.: Formulation of the optimal Latin hypercube design of experiments using a permutation genetic algorithm. In: 45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, AIAA-2004-2011, Palm Springs, California, pp. 19–22 (2004)

    Google Scholar 

  8. Viana, F.A.C., Venter, G., Balabanov, V.: An algorithm for fast optimal latin hypercube design of experiments. Int. J. Numerical Methods Eng. 82(2), 135–156 (2009)

    MathSciNet  MATH  Google Scholar 

  9. Ye, K.Q., Li, W., Sudjianto, A.: Algorithmic construction of optimal symmetric latin hypercube designs. J. Stat. Plann. Inference 90, 145–159 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  10. Ma, Y., Gong, G.: A research on CGF reasoning system based on Fuzzy Petri Net. In: Proceedings of System Simulation and Scientific Computing, Beijing, pp. 406–411 (2005)

    Google Scholar 

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Correspondence to Yaofei Ma .

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Zhai, G., Ma, Y., Song, X., Wu, Y. (2016). A Novel Flexible Experiment Design Method. In: Ohn, S., Chi, S. (eds) Model Design and Simulation Analysis. AsiaSim 2015. Communications in Computer and Information Science, vol 603. Springer, Singapore. https://doi.org/10.1007/978-981-10-2158-9_3

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  • DOI: https://doi.org/10.1007/978-981-10-2158-9_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2157-2

  • Online ISBN: 978-981-10-2158-9

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