Кафедра автоматизації проектування обчислювальної техніки (АПОТ)

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Applied aspects of information technology
(2020) Shevchenko, O. Y.; Beskorovainyi, V.; Petryshyn, L. B.
The effectiveness of man-made objects that are used in various spheres of human activity, is largely determined by the decisions taken in the course of their design [1-3]. The design process involves the iterative solution of a set of structural problems, topological, parametric, process optimization in the conditions of incomplete information for a variety of functional and cost indicators (performance criteria). Choosing the best solutions from a variety of effective only in the simplest cases can be the decision maker [6-10]. Because of the combinatorial nature of most tasks synthesis number of alternative solutions dramatically increases with the dimension of design problems. The vast majority of options is ineffective (dominated). Each of these options can be improved on the set of feasible solutions at the same time in all respects. There arises the problem of forming only efficient subset (unimprovable Pareto-optimal) design decisions constituting the plurality of compromises or selection of a subset on the created set of feasible embodiment [11-12]. In addition, for many contemporary design objects generated or selected subset of the effective options can be quite large, unsuitable for the final expert evaluation and selection. This leads to the need to reduce the set of effective options based on a programmed preference between quality indicators.