Optimizing simulation models of agricultural systems

被引：0
|
作者：
D.G. Mayer
J.A. Belward
K. Burrage
机构：
来源：
Annals of Operations Research | 1998年 / 82卷
关键词：
Genetic Algorithm; Response Surface; Simulated Annealing; Tabu Search; Management Option;
D O I：
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中图分类号：
学科分类号：
摘要：
Agricultural systems vary widely in terms of scale, scope and purpose. Managers of thesereal-world systems are typically faced with a multitude of alternative management optionsand strategies, and are turning more towards simulation models in an attempt to evaluatethese and identify the optimal combination. From a modelling perspective, agriculturalsystems present a range of problems which need to be addressed, and these are outlinedwith examples. General conclusions are drawn on which of the available methodologies aremost likely to be successful for users.
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页码：219 / 232
页数：13
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