Living with the Curse of Dimensionality: Closed‐Loop Optimization in a Large‐Scale Fisheries Simulation Model
提出一种在大型模拟模型中绕过计算困难进行动态优化的方法，并应用于墨西哥湾红鲷鱼渔业，研究动态最优总允许捕捞量。
Abstract Facilitated by remarkable increases in computational speed, simulation models are becoming more and more complex and are being increasingly used in applied economic analysis. However, computational limitations remain a major barrier to the study of dynamically optimal policies. We study the problem of carrying out dynamic optimization in conjunction with large simulation models and propose a method for working around the computational difficulties that arise in such problems. Our methods are applied to a model of the Gulf of Mexico's red snapper fishery to study the dynamically optimal total allowable catch.