Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2012, Issue 2, Pages 3–15 (Mi iipr426)  

Data mining

Hybrid algorithm of partitioning on the basis of natural mechanisms of decision-making

V. M. Kureichik, B. K. Lebedev, O. B. Lebedev

Southern Federal University, Rostov-on-Don
Abstract: New technologies of the partitioning problem decision using mathematical methods in which principles of natural mechanisms of decision-making are put in pawn are offered. The partitioning problem is represented in the form of adaptive system, on the basis of integration of evolutionary and ant approaches to decision search. It is described structures of procedures of search of decisions, ways of adjournment and evaporation pheromone. In comparison with existing algorithms improvement of results is reached.
Keywords: an ant colony, collective adaptation, self-organizing, partitioning, optimization.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. M. Kureichik, B. K. Lebedev, O. B. Lebedev, “Hybrid algorithm of partitioning on the basis of natural mechanisms of decision-making”, Artificial Intelligence and Decision Making, 2012, no. 2, 3–15
Citation in format AMSBIB
\Bibitem{KurLebLeb12}
\by V.~M.~Kureichik, B.~K.~Lebedev, O.~B.~Lebedev
\paper Hybrid algorithm of partitioning on the basis of natural mechanisms of decision-making
\jour Artificial Intelligence and Decision Making
\yr 2012
\issue 2
\pages 3--15
\mathnet{http://mi.mathnet.ru/iipr426}
\elib{https://elibrary.ru/item.asp?id=18941942}
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