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Optimizing Complex Bioeconomic Simulations Using An Efficient Search Heuristic

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  • Kazmierczak, Richard F., Jr.

Abstract

For simulation to be truly useful for investigating many problems in agricultural economics, non-simplifying optimization techniques need to be employed. General methods for simulation optimization that do not inhibit system characterization or analysis are available, and they would appear to provide much of the mathematical and optimizing rigor demanded by economists. This paper describes the theory and algorithm of a robust and efficient simulation optimization approach, the Complex Method. An example of implementing the algorithm is illustrated using a pest management problem.

Suggested Citation

  • Kazmierczak, Richard F., Jr., 1996. "Optimizing Complex Bioeconomic Simulations Using An Efficient Search Heuristic," DAE Research Reports 31661, Louisiana State University, Department of Agricultural Economics and Agribusiness.
    • Handle: RePEc:ags:lsudrr:31661
    DOI: 10.22004/ag.econ.31661
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    References listed on IDEAS

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    1. Johnson, Stanley R. & Rausser, Gordon C., 1977. "Systems Analysis and Simulation: A Survey of Applications in Agricultural and Resource Economics," A Survey of Agricultural Economics Literature, Volume 2: Quantitative Methods in Agricultural Economics, 1940s to 1970s,, Agricultural and Applied Economics Association.
    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. Sierra, Hector & Condon, Timothy, 1987. "An approximation technique for computing optimal dynamic paths," Journal of Economic Dynamics and Control, Elsevier, vol. 11(3), pages 405-423, September.
    4. Ying I. Chien & Garnett L. Bradford, 1976. "A Sequential Model of the Farm Firm Growth Process," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(3), pages 456-465.
    5. 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.
    6. H. Talpaz & G. L. Curry & P. J. H. Sharpe & D. W. DeMichele & R. E. Frisbie, 1978. "Optimal Pesticide Application for Controlling the Boll Weevil on Cotton," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 60(3), pages 469-475.
    7. John Rowse, 1988. "Does an Exhaustible Resource Usually Have Many Near-Optimal Depletion Paths?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 646-653.
    8. Richard B. Standiford & Richard E. Howitt, 1992. "Solving Empirical Bioeconomic Models: A Rangeland Management Application," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(2), pages 421-433.
    9. Katherine H. Reichelderfer & Filmore E. Bender, 1979. "Application of a Simulative Approach to Evaluating Alternative Methods for the Control of Agricultural Pests," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(2), pages 258-267.
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