Integration of Models of Adaptive Behavior of Ant and Bee Colony

Lebedev, Boris K.; Lebedev, Oleg B.; Lebedeva, Elena M.; Kostyuk, Andrey I.

doi:10.1007/978-3-319-91189-2_18

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…For instance, frameworks to analyse collective manners in harvester ants colonies using collision theory and random walk models reveal trends in patterns of interaction between ants [66]. The integration of behavioural models using partitioning algorithms describes the social practices in the swarms of bees and ant colonies [67]. Additional models simulate the human responses for epidemic scenarios during evacuations in the case of emergencies [68][69][70][71].…”

Section: Scalable Spatial Organization From Cells To Humansmentioning

confidence: 99%

Cellular sociology regulates the hierarchical spatial patterning and organization of cells in organisms

et al. 2020

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Advances in single-cell biotechnology have increasingly revealed interactions of cells with their surroundings, suggesting a cellular society at the microscale. Similarities between cells and humans across multiple hierarchical levels have quantitative inference potential for reaching insights about phenotypic interactions that lead to morphological forms across multiple scales of cellular organization, namely cells, tissues and organs. Here, the functional and structural comparisons between how cells and individuals fundamentally socialize to give rise to the spatial organization are investigated. Integrative experimental cell interaction assays and computational predictive methods shape the understanding of societal perspective in the determination of the cellular interactions that create spatially coordinated forms in biological systems. Emerging quantifiable models from a simpler biological microworld such as bacterial interactions and single-cell organisms are explored, providing a route to model spatio-temporal patterning of morphological structures in humans. This analogical reasoning framework sheds light on structural patterning principles as a result of biological interactions across the cellular scale and up.

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Section: Scalable Spatial Organization From Cells To Humansmentioning

confidence: 99%

Cellular sociology regulates the hierarchical spatial patterning and organization of cells in organisms

et al. 2020

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“…Для целей охраны периметра производственного объекта большой территориальной протяженности с учетом вероятного наличия угроз несанкционированного физического проникновения, на территории которого находятся стационарные или подвижные объекты, требуется, помимо разработки архитектуры такой системы и проработки специализированных алгоритмы интеллектуального анализа и развертывания БД [1][2][3][4][5][6][7][8][9][10], проработать вопрос внедрения такой системы на существующие платформы.…”

Section: Introductionunclassified

Deployment of a database of a perimeter security system

Samoilov¹,

Kostyuk²

2023

Proceedings of X All-Russian Scientific Conference &Amp;quot;System Synthesis and Applied Synergetics"

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“…The result of the ongoing search for the most effective packaging methods has been the use of bionic methods and algorithms. One of the new directions of such methods is multi-agent methods of intellectual optimization based on the modeling of collective intelligence [11][12][13]. To such methods it is possible to carry, and ant algorithms (Ant Colony Optimization -ACO) [14,15].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Bioinspired Algorithm of 1.5 Dimensional Bin-Packing

Lebedev

Lebedeva

2018

Advances in Intelligent Systems and Computing

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The paper deals with the problem of 1.5 dimensional bin packing. As a data structure carrying information about packaging, a sequence of numbers of rectangles is used, representing the order of their packing. An essential role in obtaining the solution is played by a decoder, which performs the laying of rectangles according to the rules laid down in it. New methods for solving the packing problem are proposed, using mathematical methods in which the principles of natural decision-making mechanisms are laid. Unlike the canonical paradigm ant algorithm to find solutions to the graph G = (X, U) is constructed with a partition on the route of the formation and on the tops within each part, subgraphs whose edges are delayed pheromone. The structure of the solution search graph, the procedure for finding solutions on the graph, the methods of deposition and evaporation of pheromone are described. The time complexity of the algorithm, experimentally obtained, practically coincides with the theoretical studies and for the considered test problems is O(n 2 ). In comparison with existing algorithms, the improvement of results is achieved by 2-3%.

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Integration of Models of Adaptive Behavior of Ant and Bee Colony

Cited by 4 publications

References 6 publications

Cellular sociology regulates the hierarchical spatial patterning and organization of cells in organisms

Cellular sociology regulates the hierarchical spatial patterning and organization of cells in organisms

Deployment of a database of a perimeter security system

Hybrid Bioinspired Algorithm of 1.5 Dimensional Bin-Packing

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