In this paper we present a dynamic multiple criteria model of integrated adaptive planning and scheduling for complex objects (CO). Various types of CO are in use currently, for example: virtual enterprises, supply chains, telecommunication systems, etc. Hereafter, we refer to CO as systems of those types. The adaptation control loops are explicitly integrated within the model of analytical simulation. The mathematical approach is based on a combined application of control theory, operations research, systems analysis, and modeling and simulation theory. In particular, a scheduling problem for CO is considered as a dynamic interpretation. New procedures of dynamic decomposition help us to find the parameter values of the model’s adaptation. The example demonstrates a general optimization scheme to be applied to the problem of division of competencies between the coordinating and operating levels of the CO via parametric adaptation of the model’s described structure dynamics control processes.
CITATION STYLE
Sokolov, B. V., Zelentsov, V. A., Brovkina, O., Mochalov, V. F., & Potryasaev, S. A. (2015). Models adaptation of complex objects structure dynamics control. In Advances in Intelligent Systems and Computing (Vol. 348, pp. 21–33). Springer Verlag. https://doi.org/10.1007/978-3-319-18503-3_3
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