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Intelligent systems. Theory and applications, 2021, Volume 25, Issue 5, Pages 75–78 (Mi ista327)  

The two-dimensional closest neighbor search problem solution using the cellular automata with locators

D. I. Vasilev

Lomonosov Moscow State University, Faculty of Mechanics and Mathematics, Chair of Mathematical Theory of Intelligent Systems
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Abstract: This article describes a cellular automaton with locators that solves the problem of finding the nearest neighbour. The problem is to find from a finite set of points the one closest to a predetermined "central" point. In contrast to the classical model of a cellular automaton, in the model under consideration, instantaneous transmission of signals through the ether at an arbitrary distance is allowed. It is shown that this possibility makes it possible to solve the problem in constant time, which is strikingly different from the one-dimensional case, where a logarithmic lower complexity estimate by the minimal distance is obtained.
Keywords: cellular automata, homogeneous structures, the closest neighbour search problem.
Document Type: Article
Language: English
Citation: D. I. Vasilev, “The two-dimensional closest neighbor search problem solution using the cellular automata with locators”, Intelligent systems. Theory and applications, 25:5 (2021), 75–78
Citation in format AMSBIB
\Bibitem{Vas21}
\by D.~I.~Vasilev
\paper The two-dimensional closest neighbor search problem solution using the cellular automata with locators
\jour Intelligent systems. Theory and applications
\yr 2021
\vol 25
\issue 5
\pages 75--78
\mathnet{http://mi.mathnet.ru/ista327}
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