带附加约束的优化路径问题的一些应用

Pub Date : 2022-06-01 DOI:10.35634/vm220203
Petunin A.A., Chentsov A.G., C. P.A.
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引用次数: 0

摘要

本文研究了一类带约束的极值路由问题。在一般公式中,假定访问的对象是任意非空有限集合——特大城市。本研究考虑的主要应用问题是数控板料切割机的刀具轨迹优化问题,即切削路径问题。这个问题出现在开发数控机床控制程序的阶段。其他应用也是可能的。特别是,本章所得的结果可用于核电厂事故后拆除辐射有害元素系统时尽量减少辐射剂量的问题和运输问题。在任务约束中,研究了优先约束。这些约束可以用来降低计算复杂性。作为研究的主要方法,本研究采用了被广泛理解的动态规划。该方法的实现考虑了优先约束和目标函数对任务列表的依赖性。这种依赖关系属于一类非常复杂的条件,这些条件决定了每个路由步骤的路由可接受性,这取决于已经完成或相反,尚未完成的任务。当应用于切削路径问题时,目标函数对任务列表的依赖性使得在切削过程中减少材料的热变形成为可能。本章提供了一个带附加约束的极值路由问题的数学形式化,描述了该方法,以及在其帮助下得到的精确算法。优化了任务执行的顺序、流程的具体轨迹和起点。
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Some applications of optimization routing problems with additional constraints
The paper deals with an extremal routing problem with constraints. In the general formulation, it is assumed that the objects of visiting are any non-empty finite sets — megalopolises. The main applied problem considered in this study is the tool path optimization problem for CNC sheet-cutting machines, known as the Cutting Path Problem. This problem arises at the stage of developing control programs for CNC machines. Other applications are also possible. In particular, the results obtained in the chapter can be used in the problem of minimizing the radiation dose when dismantling a system of radiation-hazardous elements after accidents at nuclear power plants and in transport problems. Among tasks constraints, the precedence constraints are investigated. These constraints can be used to reduce computational complexity. As the main method, the study used broadly understood dynamic programming. The offered realization of the method takes into account the precedence constraints and the dependence of the objective functions on the task list. This dependence belongs to the class of very complex conditions that determine the route admissibility at each routing step, depending on the tasks already completed or, on the contrary, not yet completed. As applied to the Cutting Path Problem, the dependence of the objective function on the task list makes it possible to reduce thermal deformations of the material during cutting. The chapter provides a mathematical formalization of an extremal routing problem with additional constraints, a description of the method, and the exact algorithm obtained with its help. The order of task execution, the specific trajectory of the process, and the starting point are optimized.
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