Використання алгоритму рою часток для оптимізації організаційних моделей взаємодії учасників будівельного ринку

Authors

  • А. В. Шпаков

DOI:

https://doi.org/10.32347/2707-501x.2012.28.85-89

Keywords:

building complex, networking, particle swarm algorithm, organizational behavior, construction and investment projects.

Abstract

It is proposed to use the classic particle swarm algorithm and its modifications for use in organizational modeling of Ukraine competitive construction industry environment and its individual segments, including the study of new organizational forms of construction companies such as "network" organizations or company created on the network principle.

References

J. Kennedy, R. C. Eberhart, “Particle swarm optimization” // In Proceedings of IEEE International Conference on Neural Networks, стр. 1942–1948, 1995 г.

Кочубей Р.В. Определяющие особенности современных сетевых предпринимательских структур / Маркетинг і менеджмент інновацій, 2001, №2 с.150-156.

Y. Shi, R. Eberhart, “Empirical study of particle swarm optimization” // Proceedings of the 1999 IEEE Congress on Evolutionary Computation, стр. 1945–1950, 1999 г.

Старк Д. Гетерархия: неоднозначность активов и организация разнообразия [електроний ресурс] Д. Старк // Экономическая социология: новые подходы к институциональному и сетевому анализу / сост. и науч. ред. В.В. Радаев. – С.47-95. – Режим доступа: www.ecsocman.edu.ru/data/177/117/123/stark.pdf.

R. Mendes, J. Kennedy, J. Neves, “The fully informed particle swarm: Simpler, maybe better” // IEEE Transactions on Evolutionary Computation, №8 (3), стр. 204–210, 2004 г.

Алгоритм роя частиц: URL: http://habrahabr.ru/post/105639/ (дата обращения: 24.09.2012)

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How to Cite

Шпаков, А. В. (2012). Використання алгоритму рою часток для оптимізації організаційних моделей взаємодії учасників будівельного ринку. Ways to Improve Construction Efficiency, (28), 85–89. https://doi.org/10.32347/2707-501x.2012.28.85-89

Issue

No. 28 (2012): Ways to Improve Construction Efficiency

Section

Papers

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Copyright (c) 2020 А. В. Шпаков

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