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JOURNALS // Intelligent systems. Theory and applications // Archive

Intelligent systems. Theory and applications, 2021 Volume 25, Issue 5, Pages 27–43 (Mi ista324)

The one-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

Abstract: The paper considers applying the locator cellular automaton model to the closest neighbour search problem. The locator cellular automaton model assumes the possibility for each cell to translate a signal through any distance using ether. It is proven in this paper that such possibility allows to decrease the problem complexity from linear to logarithmic (against the classic cellular automaton model).

Keywords: cellular automaton, homogeneous structures, the closest neighbour search problem.

Language: English



© Steklov Math. Inst. of RAS, 2024