190: Комп'ютерні науки

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Visual Evolutionary Search for the Pareto-Optimal Data
(2016) Norkin, B.
The paper describes an information technology (and software) for interactive visual search for Paretooptimal data in a large data set (data points). Each data element (point) is a vector with a number of components with values in completely ordered, probably different, spaces/sets. These components are treated as optimization criteria and can be maximized or minimized. The basic problem is to identify a non-dominated data subset with respect to the selected criteria/components with specified directions of optimization. The problem is solved interactively by graphical display of the data in different planes (pairs of coordinates). The second related problem is to order data elements with respect to their power of domination. The latter problem is solved by calculation of two numbers, the numbers of elements that dominate and are dominated by a given element, calculation of their difference and different sizes of data points on the displayed planes.