Methods and Tools for Developing Intelligent Systems for Solving Complex Real-Time Adaptive Resource Management Problems

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Abstract

Abstract: We give the statement of the real-time adaptive enterprise resource management problemand provide examples of contemporary adaptive resource management problems in various fieldsof application, showing the dimension and other features of the problems being solved.Requirements for the solution of the problems under consideration are stated, and generalprinciples improving the resource management adaptability are proposed. Existing approaches arebriefly analyzed, and their limitations are highlighted. A new methodology for solving theproblems under consideration is proposed, an overview of developments is given, and the firstexperience of applying this methodology to the creation of intelligent resource managementsystems is discussed. The possibility of solving extremely complex resource management problemsis shown by means of a modified ontology-based concept of the network of needs and capacities. Inthe framework of this concept, the schedule is constructed as a “competitive equilibrium” in thevirtual market of a unified multiagent system, tuned to a specific enterprise with the use ofapplied ontologies. An example of developing a prototype of an intelligent resource managementsystem for a multisatellite Earth remote sensing constellation and the results of its experimentalstudy are given. An approach to assessing the performance and efficiency of adaptive schedulingmodels and methods developed for real-time resource management is proposed. Prospects forfurther development of the approach to solving complex adaptive resource management problemsare shown.

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Grachev, S. P., Zhilyaev, A. A., Laryukhin, V. B., Novichkov, D. E., Galuzin, V. A., Simonova, E. V., … Skobelev, P. O. (2021). Methods and Tools for Developing Intelligent Systems for Solving Complex Real-Time Adaptive Resource Management Problems. Automation and Remote Control, 82(11), 1857–1885. https://doi.org/10.1134/S0005117921110035

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