ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 10. Vol. 27. 2021

DOI: 10.17587/it.27.507-520

V. V. Kureychik, Professor, e-mail: vkur@sfedu.ru, S. I. Rodzin, Professor, e-mail: srodzin@yandex.ru, Southern Federal University, Taganrog, Russian Federation

Computational Models of Evolutionary and Swarm Bio Heuristics (Review)

Computational models of evolutionary and swarm algorithms using nature-inspired mechanisms of self-organization and learning are presented. Experimental results are presented for the problem of placing a graph on a plane with the minimum total length of the graph edges.
Keywords: bio heuristics, convergence of the algorithm, exploration versus exploitation, population, fitness assignation, optimization, graph

Acknowledgements: The reported study was tunded by RFBR according to the research project ¹ 19-07-00570

P. 507–520

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