Open Access
Complexity, volume 2018, pages 1-15
A conceptual approach to complex model management with generalized modelling patterns and evolutionary identification
2
University of amsterdam, Amsterdam, Netherlands
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Publication type: Journal Article
Publication date: 2018-11-01
Multidisciplinary
General Computer Science
Abstract
Complex systems’ modeling and simulation are powerful ways to investigate a multitude of natural phenomena providing extended knowledge on their structure and behavior. However, enhanced modeling and simulation require integration of various data and knowledge sources, models of various kinds (data-driven models, numerical models, simulation models, etc.), and intelligent components in one composite solution. Growing complexity of such composite model leads to the need of specific approaches for management of such model. This need extends where the model itself becomes a complex system. One of the important aspects of complex model management is dealing with the uncertainty of various kinds (context, parametric, structural, and input/output) to control the model. In the situation where a system being modeled, or modeling requirements change over time, specific methods and tools are needed to make modeling and application procedures (metamodeling operations) in an automatic manner. To support automatic building and management of complex models we propose a general evolutionary computation approach which enables managing of complexity and uncertainty of various kinds. The approach is based on an evolutionary investigation of model phase space to identify the best model’s structure and parameters. Examples of different areas (healthcare, hydrometeorology, and social network analysis) were elaborated with the proposed approach and solutions.
Citations by journals
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Procedia Computer Science
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Procedia Computer Science
2 publications, 22.22%
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Lecture Notes in Computer Science
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Lecture Notes in Computer Science
2 publications, 22.22%
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Future Generation Computer Systems
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Future Generation Computer Systems
1 publication, 11.11%
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Entropy
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Entropy
1 publication, 11.11%
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Computation
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Computation
1 publication, 11.11%
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Journal of Computational Science
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Journal of Computational Science
1 publication, 11.11%
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2
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Citations by publishers
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4
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Elsevier
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Elsevier
4 publications, 44.44%
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Multidisciplinary Digital Publishing Institute (MDPI)
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Multidisciplinary Digital Publishing Institute (MDPI)
2 publications, 22.22%
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Springer Nature
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Springer Nature
2 publications, 22.22%
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Kovalchuk S. et al. A conceptual approach to complex model management with generalized modelling patterns and evolutionary identification // Complexity. 2018. Vol. 2018. pp. 1-15.
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Kovalchuk S., Metsker O. G., Funkner A. A., Kisliakovskii I. O., Nikitin N. O., Kalyuzhnaya A., Vaganov D. A., Bochenina K. A conceptual approach to complex model management with generalized modelling patterns and evolutionary identification // Complexity. 2018. Vol. 2018. pp. 1-15.
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TY - JOUR
DO - 10.1155/2018/5870987
UR - https://doi.org/10.1155%2F2018%2F5870987
TI - A conceptual approach to complex model management with generalized modelling patterns and evolutionary identification
T2 - Complexity
AU - Kovalchuk, S.
AU - Metsker, Oleg G.
AU - Funkner, Anastasia A
AU - Kisliakovskii, Ilia O
AU - Nikitin, Nikolay O
AU - Kalyuzhnaya, Anna
AU - Vaganov, Danila A
AU - Bochenina, Klavdiya
PY - 2018
DA - 2018/11/01 00:00:00
PB - Hindawi Limited
SP - 1-15
VL - 2018
SN - 1076-2787
SN - 1099-0526
ER -
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@article{2018_Kovalchuk,
author = {S. Kovalchuk and Oleg G. Metsker and Anastasia A Funkner and Ilia O Kisliakovskii and Nikolay O Nikitin and Anna Kalyuzhnaya and Danila A Vaganov and Klavdiya Bochenina},
title = {A conceptual approach to complex model management with generalized modelling patterns and evolutionary identification},
journal = {Complexity},
year = {2018},
volume = {2018},
publisher = {Hindawi Limited},
month = {nov},
url = {https://doi.org/10.1155%2F2018%2F5870987},
pages = {1--15},
doi = {10.1155/2018/5870987}
}