This paper belongs to the field of systems engineering and is aimed at improving the qualitative indices of vector data information technologies (e.g. 2D vector data coding design) with respect to reliability, precision and other significant operating characteristics of the systems based on the combinatorial configurations theory, namely the Ideal Ring Bundles (IRB)s.
The article features revealed pricing for machine building products. The general approach to modeling the process of pricing for machine building products within the parameters of the demand for goods produced using this product. The building model performance optimization criterion prices and volumes of sales machine building company. Established the possibility of using performance optimization criterion prices for machine building products to address the task of selecting the best varieties of products.
A bee colony optimization algorithm and its modifications as a way to solve the complex combinatorial optimization problems are described. Biological basis, advantages, disadvantages and usage of this method are studied.
Concept of coding systems optimizations based on vector combinatorial configurations (the Ideal Vector Rings models), with the optimization being embedded in the underlying combinatorial models, is regarded in this paper. This paper is aimed at improving the qualitative indices of multidimensional vector data information technologies and computer systems with respect to transmission speed of vector data with automatic error correction, and data security using a variety of multidimensional combinatorial configuration and finite cyclic group theory.
Goal. The development of conceptual frameworks and proposals to optimize the geometry of Dnister PSPP control GNSS network and to identify ways to improve the accuracy of GNSS measurements. Methodology. To select optimal geometric deployment of new and to clarify the position of existing points of Dnister PSPP control GNSS network it was developed a special methodology of optimizing the geometric configuration of the network. It foresees detecting of points position at which the value of optimization criteria will be minimal.