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Analyzing Complex Dynamic Bioeconomic Systems Using A Simulation Optimization Technique

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  • Kazmierczak, Richard F., Jr.

Abstract

A hybrid approach to optimizing complex dynamic systems is introduced that employs computer simulation and theoretical conditions derived from the maximum principle to optimize non-analytic deterministic or stochastic systems. A policy problem in the area of pesticide regulation and the management of pest resistance is used in the discussion.

Suggested Citation

  • Kazmierczak, Richard F., Jr., 1990. "Analyzing Complex Dynamic Bioeconomic Systems Using A Simulation Optimization Technique," 1990 Annual meeting, August 5-8, Vancouver, Canada 270852, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea90:270852
    DOI: 10.22004/ag.econ.270852
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    References listed on IDEAS

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    1. Trapp, James N., 1989. "The Dawning of the Age of Dynamic Theory: Its Implications for Agricultural Economics Research and Teaching," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 21(1), pages 1-11, July.
    2. Musser, Wesley N. & Tew, Bernard V., 1984. "Use Of Biophysical Simulation In Production Economics," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 16(1), pages 1-10, July.
    3. Trapp, James N., 1989. "The Dawning Of The Age Of Dynamic Theory: Its Implications For Agricultural Economics Research And Teaching," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 21(1), pages 1-11, July.
    4. D. Hueth & U. Regev, 1974. "Optimal Agricultural Pest Management with Increasing Pest Resistance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 56(3), pages 543-552.
    5. Hornbaker, Robert H. & Mapp, Harry P., Jr., 1988. "A Dynamic Analysis Of Water Savings From Advanced Irrigation Technology," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(2), pages 1-9, December.
    6. Azadivar, Farhad & Lee, Young-Hae, 1988. "Optimization of discrete variable stochastic systems by computer simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 30(4), pages 331-345.
    7. Norton, George W. & Kazmierczak, Richard F. Jr & Knight, Alan L., 1989. "Economics of Agricultural Pesticide Resistance," Staff Papers 232541, Virginia Polytechnic Institute and State University, Department of Agricultural and Applied Economics.
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    Cited by:

    1. Botes, J. H. F. & Bosch, D. J. & Oosthuizen, L. K., 1996. "A simulation and optimization approach for evaluating irrigation information," Agricultural Systems, Elsevier, vol. 51(2), pages 165-183, June.

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