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Optimisation of a Large, Constrained Simulation Model using Compressed Annealing

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  • Graeme J. Doole
  • David J. Pannell

Abstract

Simulation models are valuable tools in the analysis of complex, highly constrained economic systems unsuitable for solution by mathematical programming. However, model size may hamper the efforts of practitioners to identify efficiently the most valuable management strategy. This paper investigates the efficacy of a new stochastic search procedure, compressed annealing, for the identification of profitable solutions in large, constrained systems. The algorithm is used to examine the value of incorporating a sown annual pasture, French serradella (Ornithopus sativus Brot. cv. Cadiz), between extended cropping sequences in the central wheatbelt of Western Australia. Compressed annealing is shown to be a reliable means of considering constraints in complex optimisation problems relative to the incorporation of fixed penalty factors in standard simulated annealing and genetic algorithms. French serradella is found to be an economic break pasture in the study region when weed populations are high or sheep production is lucrative.

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  • 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.
    • Handle: RePEc:bla:jageco:v:59:y:2008:i:1:p:188-206
    DOI: 10.1111/j.1477-9552.2007.00138.x
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    1. Doole, Graeme & Pannell, David J., 2011. "Evaluating environmental policies under uncertainty through application of robust nonlinear programming," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 55(4), pages 1-18.
    2. Monge, Juan J. & Daigneault, Adam J. & Dowling, Leslie J. & Harrison, Duncan R. & Awatere, Shaun & Ausseil, Anne-Gaelle, 2018. "Implications of future climatic uncertainty on payments for forest ecosystem services: The case of the East Coast of New Zealand," Ecosystem Services, Elsevier, vol. 33(PB), pages 199-212.
    3. Graeme J. Doole & David J. Pannell & Clinton K. Revell, 2009. "Economic contribution of French serradella (Ornithopus sativus Brot.) pasture to integrated weed management in Western Australian mixed-farming systems: an application of compressed annealing ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(2), pages 193-212, April.
    4. Doole, Graeme J. & Weetman, Ellen, 2009. "Tactical management of pasture fallows in Western Australian cropping systems," Agricultural Systems, Elsevier, vol. 102(1-3), pages 24-32, October.
    5. Ridier, Aude & Chaib, Karim & Roussy, Caroline, 2016. "A Dynamic Stochastic Programming model of crop rotation choice to test the adoption of long rotation under price and production risks," European Journal of Operational Research, Elsevier, vol. 252(1), pages 270-279.
    6. Graeme J. Doole & Alvaro J. Romera & Alfredo A. Adler, 2012. "A Mathematical Optimisation Model of a New Zealand Dairy Farm: The Integrated Dairy Enterprise (IDEA) Framework," Working Papers in Economics 12/01, University of Waikato.
    7. Bermeo, Santiago & Austin, Darran & Doole, Graeme & Fenemor, Andrew, 2016. "Waimea Plains: Economics of freshwater quantity management," 2016 Conference (60th), February 2-5, 2016, Canberra, Australia 235247, Australian Agricultural and Resource Economics Society.
    8. Andrew J. Collins & Kasi Bharath Vegesana & Michael J. Seiler & Patrick O’Shea & Prasanna Hettiarachchi & Frederic McKenzie, 2013. "Simulation and mathematical programming decision-making support for smallholder farming," Environment Systems and Decisions, Springer, vol. 33(3), pages 427-439, September.
    9. Bermeo, Santiago & Doole, Graeme & Austin, Darran & Fenemor, Andrew, 2016. "Waimea Plains: economics of freshwater quantity management," 2016 Conference (60th), February 2-5, 2016, Canberra, Australia 235246, Australian Agricultural and Resource Economics Society.
    10. Ridier, Aude & Chaib, Karim & Roussy, Caroline, 2012. "The adoption of innovative cropping systems under price and production risks: a dynamic model of crop rotation choice," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122440, European Association of Agricultural Economists.
    11. Doole, Graeme J., 2009. "A Practical Algorithm for Multiple-Phase Control Systems in Agricultural and Natural Resource Economics," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 34(1), pages 1-21, April.
    12. Beltran, Jesusa C. & Pannell, David J. & Doole, Graeme J. & White, Benedict, 2012. "Economic analysis of integrated weed management strategies for annual barnyardgrass (Echinochloa crus-galli complex) in Philippine rice farming systems," 2012 Conference (56th), February 7-10, 2012, Fremantle, Australia 124236, Australian Agricultural and Resource Economics Society.
    13. Romera, Alvaro J. & Doole, Graeme J. & Beukes, Pierre C. & Mason, Norman & Mudge, Paul L., 2017. "The role and value of diverse sward mixtures in dairy farm systems of New Zealand: An exploratory assessment," Agricultural Systems, Elsevier, vol. 152(C), pages 18-26.
    14. Beltran, Jesusa C. & Pannell, David J. & Doole, Graeme J. & White, Benedict, 2012. "A bioeconomic model for analysis of integrated weed management strategies for annual barnyardgrass (Echinochloa crus-galli complex) in Philippine rice farming systems," Agricultural Systems, Elsevier, vol. 112(C), pages 1-10.
    15. Jacobs, A. & Kingwell, R., 2016. "The Harrington Seed Destructor: Its role and value in farming systems facing the challenge of herbicide-resistant weeds," Agricultural Systems, Elsevier, vol. 142(C), pages 33-40.
    16. Doole, Graeme J. & Romera, Alvaro J., 2015. "Trade-offs between profit, production, and environmental footprint on pasture-based dairy farms in the Waikato region of New Zealand," Agricultural Systems, Elsevier, vol. 141(C), pages 14-23.

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