CONSTRUCTION OF COMPLEX SCHEDULES FOR EXECUTION OF TASK PACKAGES AT FORMING SETS IN SPECIFIED DIRECTIVE TERMS

IF 1.9 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Intelligenza Artificiale Pub Date : 2021-05-28 DOI:10.15622/IA.2021.3.6
K. Krotov, A. Skatkov
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Abstract

The current state with the solution of the problem complex planning of the execution of task packets in multistage system is characterized by the absence of universal methods of forming decisions on the composition of packets, the presence of restrictions on the dimension of the problem and the impossibility of guaranteed obtaining effective solutions for various values of its input parameters, as well the impossibility of registration the condition of the formation of sets from the results. The solution of the task of planning the execution of task packets in multistage systems with the formation of sets of results within the specified deadlines has been realized of authors in article. To solve the planning problem, the generalized function of the system was decomposed into a set of hierarchically interrelated subfunctions. The use of decomposition made it possible to use a hierarchical approach for planning the execution of task packets in multistage systems, which involves defining solutions based on the composition of packets at the top level of the hierarchy and scheduling the execution of packages at the bottom level of the hierarchy. The theory of hierarchical games is used to optimize solutions for the compositions of task packets and schedules for their execution is built, which is a system of criteria at the decision-making levels. Evaluation of the effectiveness of decisions by the composition of packets at the top level of the hierarchy is ensured by the distribution of the results of task execution by packets in accordance with the formed schedule. To evaluate the effectiveness of decisions on the composition of packets, method for ordering the identifiers of the types of sets with registration of the deadlines and a method for distributing the results of the tasks performed by packets has been formulated, which calculates the moments of completion of the formation of sets and delays with their formation relative to the specified deadlines. The studies of planning the process of the executing task packages in multistage systems have been carried out, provided that the sets are formed within specified deadlines. On their basis, conclusions, regarding the dependence of the planning efficiency from the input parameters of the problem, were formulated.
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为在特定指令条件下形成集合时执行任务包而构建的复杂时间表
多阶段系统中任务包执行的复杂规划问题的现状,其特点是缺乏对包的组成形成决策的通用方法,问题的维数存在限制,不能保证对其输入参数的各种值获得有效解,也不能从结果中注册集合的形成条件。本文实现了在规定时限内形成结果集的多阶段系统中规划任务包执行任务的问题的解决。为了解决规划问题,将系统的广义函数分解为一组层次关联的子函数。分解的使用使得在多级系统中使用分层方法来规划任务包的执行成为可能,这包括在分层结构的顶层根据包的组成来定义解决方案,并在分层结构的底层安排包的执行。运用层次博弈理论对任务包的组成进行优化,构建了任务包的执行调度,这是一个决策层面的标准体系。在层次结构的顶层,通过数据包的组合来评估决策的有效性,通过数据包按照形成的时间表分配任务执行的结果来保证。为了评估数据包组成决策的有效性,制定了具有截止日期注册的集合类型标识符排序方法和分配数据包执行的任务结果的方法,该方法计算了集合形成的完成时刻和相对于指定截止日期形成的延迟。对多阶段系统中执行任务包的规划过程进行了研究,只要这些任务包是在规定的期限内形成的。在此基础上,得出了规划效率与问题输入参数的依赖关系的结论。
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来源期刊
Intelligenza Artificiale
Intelligenza Artificiale COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
3.50
自引率
6.70%
发文量
13
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