整数格叠加求解经济中的优化问题:应用方面

V. Senchukov
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引用次数: 0

摘要

对解决现代经济优化任务的科学方法的概括结果表明,需要在改进现有数学工具的基础上对其解决方案进行新的展望。研究表明,现有数学工具在实际应用中解决经济优化问题的特点是由经济中存在非线性过程的企业管理问题引起的,这也需要考虑非线性动态过程的相应特征。提出了解决整数(离散)规划问题的方法,该方法与应用精确方法(分离方法和组合方法)时出现的困难有关,即:分数Gomorhic算法——用于解决完全整数问题(通过逐渐“缩小”所考虑问题的可容许解的区域);分支和边界的方法,包括将所有计划的完整概述替换为部分方向性概述。给出了几何规划、分数阶线性规划、非凸域非线性规划、非凸域分数阶非线性规划以及Cobb-Douglas模型最优模型研究的实例。基于覆盖整数网格(OIG)方法的高级数学工具将解决纯粹离散的问题,而不仅仅是整数优化问题,作为一个单独的例子,是在解决应用性质的优化任务的背景下提出的,并且以降低其解算的复杂性和持续时间为代价更有效。事实证明,在解决经济性质的任务,特别是优化实体经济部门企业新产品的组织和生产准备过程的参数时,应将适当的分析支持作为一种经济和数学工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The solution of optimization problems in the economy by overlaying integer lattices: applied aspect
The results of generalization of scientific approaches to the solution of modern economic optimization tasks have shown the need for a new vision of their solution based on the improvement of existing mathematical tools. It is established that the peculiarities of the practical use of existing mathematical tools for solving economic optimization problems are caused by the problems of enterprise management in the presence of nonlinear processes in the economy, which also require consideration of the corresponding characteristics of nonlinear dynamic processes. The approach to solving the problem of integer (discrete) programming associated with the difficulties that arise when applying precise methods (methods of separation and combinatorial methods) is proposed, namely: a fractional Gomorrhic algorithm – for solving entirely integer problems (by gradual "narrowing" areas of admissible solutions of the problem under consideration); the method of branches and borders - which involves replacing the complete overview of all plans by their partial directional over. Illustrative examples of schemes of geometric programming, fractional-linear programming, nonlinear programming with a non-convex region, fractional-nonlinear programming with a non-convex domain, and research on the optimum model of Cobb-Douglas model are given. The advanced mathematical tools on the basis of the method of overlaying integer grids (OIG), which will solve problems of purely discrete, and not only integer optimization, as an individual case, are presented in the context of solving optimization tasks of an applied nature and are more effective at the expense of reducing the complexity and duration of their solving. It is proved that appropriate analytical support should be used as an economic and mathematical tool at the stage of solving tasks of an economic nature, in particular optimization of the parameters of the processes of organization and preparation of production of new products of the enterprises of the real sector of the economy.
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