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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. 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.
    3. 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.
    4. 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(01), pages 1-10, July.
    5. 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.
    6. 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(01), pages 1-11, July.
    7. 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.
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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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