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SOLVING UNDISCOUNTED INFINITE HORIZON OPTIMIZATION PROBLEMS: A NONSTANDARD APPROACH

机译:解决未折价的无限水平优化问题:一种非标准方法

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Undiscounted infinite horizon optimization problems are intrinsically difficult because (i) the objective functional may not converge; (ii) boundary conditions at the infinite ter- minal time cannot be rigorously expressed in the real number field. In this paper, by ex- tending real numbers to hyper-real numbers, we derive the optimal solution to an undis- counted infinite horizon optimization problem that has an infinite objective functional. We demonstrate that under a hyper-real terminal time, there exists a unique optimal so- lution in the hyper-real number field. We show that under fairly general conditions, the standard part of the hyper-real optimal path is the optimum among all feasible paths in the standard real number field, in the sense of two modified overtaking criteria. We also examine the applicability of our approach by considering two parametric examples.
机译:无折衷的无限视野优化问题本质上是困难的,因为(i)目标函数可能无法收敛; (ii)在实数字段中不能严格表示无限大时间的边界条件。在本文中,通过将实数扩展为超实数,我们得出了具有无限目标函数的无计数无限地平线优化问题的最优解。我们证明,在超真实终端时间下,超真实数字字段中存在唯一的最佳解决方案。我们表明,在相当普遍的条件下,就两个修改的超越标准而言,超真实最优路径的标准部分是标准实数字段中所有可行路径中的最优部分。我们还通过考虑两个参数示例来检验我们方法的适用性。

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