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Optimizing simulation models of agricultural systems

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  • D.G. Mayer
  • J.A. Belward
  • K. Burrage

Abstract

Agricultural systems vary widely in terms of scale, scope and purpose. Managers of thesereal-world systems are typically faced with a multitude of alternative management optionsand strategies, and are turning more towards simulation models in an attempt to evaluatethese and identify the optimal combination. From a modelling perspective, agriculturalsystems present a range of problems which need to be addressed, and these are outlinedwith examples. General conclusions are drawn on which of the available methodologies aremost likely to be successful for users. Copyright Kluwer Academic Publishers 1998

Suggested Citation

  • D.G. Mayer & J.A. Belward & K. Burrage, 1998. "Optimizing simulation models of agricultural systems," Annals of Operations Research, Springer, vol. 82(0), pages 219-232, August.
    • Handle: RePEc:spr:annopr:v:82:y:1998:i:0:p:219-232:10.1023/a:1018958602679
    DOI: 10.1023/A:1018958602679
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    Cited by:

    1. Bergez, J. -E. & Garcia, F. & Lapasse, L., 2004. "A hierarchical partitioning method for optimizing irrigation strategies," Agricultural Systems, Elsevier, vol. 80(3), pages 235-253, June.
    2. Mayer, D.G. & Belward, J.A. & Burrage, K., 1998. "Tabu search not an optimal choice for models of agricultural systems," Agricultural Systems, Elsevier, vol. 58(2), pages 243-251, October.
    3. Villalba, D. & Díez-Unquera, B. & Carrascal, A. & Bernués, A. & Ruiz, R., 2019. "Multi-objective simulation and optimisation of dairy sheep farms: Exploring trade-offs between economic and environmental outcomes," Agricultural Systems, Elsevier, vol. 173(C), pages 107-118.
    4. Graeme J. Doole & David J. Pannell, 2008. "Optimisation of a Large, Constrained Simulation Model using Compressed Annealing," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(1), pages 188-206, February.
    5. Mayer, D. G. & Belward, J. A. & Widell, H. & Burrage, K., 1999. "Survival of the fittest--genetic algorithms versus evolution strategies in the optimization of systems models," Agricultural Systems, Elsevier, vol. 60(2), pages 113-122, May.
    6. Mayer, D. G. & Belward, J. A. & Burrage, K., 2001. "Robust parameter settings of evolutionary algorithms for the optimisation of agricultural systems models," Agricultural Systems, Elsevier, vol. 69(3), pages 199-213, September.

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