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Heuristic optimization of experimental designs

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  • Lejeune, Miguel A.

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  • Lejeune, Miguel A., 2003. "Heuristic optimization of experimental designs," European Journal of Operational Research, Elsevier, vol. 147(3), pages 484-498, June.
    • Handle: RePEc:eee:ejores:v:147:y:2003:i:3:p:484-498
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    Cited by:

    1. CUERVO, Daniel Palhazi & GOOS, Peter & SÖRENSEN, Kenneth, 2013. "An iterated local search algorithm for the construction of large scale D-optimal experimental designs," Working Papers 2013006, University of Antwerp, Faculty of Business and Economics.
    2. Ioannidis Evangelos & Merkouris Takis & Zhang Li-Chun & Karlberg Martin & Petrakos Michalis & Reis Fernando & Stavropoulos Photis, 2016. "On a Modular Approach to the Design of Integrated Social Surveys," Journal of Official Statistics, Sciendo, vol. 32(2), pages 259-286, June.
    3. Vieira Jr., Hélcio & Sanchez, Susan & Kienitz, Karl Heinz & Belderrain, Mischel Carmen Neyra, 2011. "Generating and improving orthogonal designs by using mixed integer programming," European Journal of Operational Research, Elsevier, vol. 215(3), pages 629-638, December.
    4. Karvanen, Juha & Kulathinal, Sangita & Gasbarra, Dario, 2009. "Optimal designs to select individuals for genotyping conditional on observed binary or survival outcomes and non-genetic covariates," Computational Statistics & Data Analysis, Elsevier, vol. 53(5), pages 1782-1793, March.

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