ANALYZING COMPLEX DYNAMIC BIOECONOMIC SYSTEMS USING A SIMULATION OPTIMIZATION TECHNIQUE
Kazmierczak, Richard F., Jr.
1990

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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.

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Title ANALYZING COMPLEX DYNAMIC BIOECONOMIC SYSTEMS USING A SIMULATION OPTIMIZATION TECHNIQUE
Keywords
Author(s) Kazmierczak, Richard F., Jr.
Subject(s)
Issue Date Aug 05 1990
Publication Type Conference Paper/ Presentation
DOI and Other Identifiers 10.22004/ag.econ.270852
Record Identifier https://ageconsearch.umn.edu/record/270852
Language English
Total Pages 15
Record Appears in Agricultural and Applied Economics Association (AAEA) > Agricultural and Applied Economics Association (AAEA) Conferences > 1990 Annual meeting, August 5-8, Vancouver, Canada

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