Towards management of complex modeling through a hybrid evolutionary identification

Kovalchuk S.V., Metsker O.G., Funkner A.A., Kisliakovskii I.O., Nikitin N.O., Kalyuzhnaya A.V., Vaganov D.A., Bochenina K.O.
Тип документаProceedings Article
Дата публикации2018-07-06
Название журналаGECCO 2018 Companion - Proceedings of the 2018 Genetic and Evolutionary Computation Conference Companion
Издатель
Краткое описание
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, intelligent components in one composite solution. Growing complexity of such composite model leads to the need of specific approaches for management of such model. To support automatic building and management of complex models we propose a general evolutionary computation approach based on an evolutionary investigation of model phase space to identify the best model's structure and parameters.
Пристатейные ссылки: 5
Towards evolutionary discovery of typical clinical pathways in electronic health records
Funkner A.A., Yakovlev A.N., Kovalchuk S.V.
Q2 Procedia Computer Science 2017 цитирований: 12
Classification issues within ensemble-based simulation: application to surge floods forecasting
Kovalchuk S.V., Krikunov A.V., Knyazkov K.V., Boukhanovsky A.V.
Q1 Stochastic Environmental Research and Risk Assessment 2016 цитирований: 8
Towards Ensemble Simulation of Complex Systems
Kovalchuk S.V., Boukhanovsky A.V.
Q2 Procedia Computer Science 2015 цитирований: 11
Modeling Complex Systems
Boccara N.
2010 цитирований: 69
Метрики
Поделиться
Цитировать
ГОСТ |
Цитировать
1. Kovalchuk S. V. и др. Towards management of complex modeling through a hybrid evolutionary identification // Proceedings of the Genetic and Evolutionary Computation Conference Companion. 2018.
RIS |
Цитировать

TY - CPAPER

DO - 10.1145/3205651.3205751

UR - http://dx.doi.org/10.1145/3205651.3205751

TI - Towards management of complex modeling through a hybrid evolutionary identification

T2 - Proceedings of the Genetic and Evolutionary Computation Conference Companion

AU - Kovalchuk, Sergey V.

AU - Metsker, Oleg G.

AU - Funkner, Anastasia A.

AU - Kisliakovskii, Ilia O.

AU - Nikitin, Nikolay O.

AU - Kalyuzhnaya, Anna V.

AU - Vaganov, Danila A.

AU - Bochenina, Klavdiya O.

PY - 2018

DA - 2018/07/06

PB - ACM

ER -

BibTex |
Цитировать

@inproceedings{Kovalchuk_2018,

doi = {10.1145/3205651.3205751},

url = {https://doi.org/10.1145%2F3205651.3205751},

year = 2018,

month = {jul},

publisher = {{ACM}},

author = {Sergey V. Kovalchuk and Oleg G. Metsker and Anastasia A. Funkner and Ilia O. Kisliakovskii and Nikolay O. Nikitin and Anna V. Kalyuzhnaya and Danila A. Vaganov and Klavdiya O. Bochenina},

title = {Towards management of complex modeling through a hybrid evolutionary identification},

booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference Companion}

}

MLA
Цитировать
Kovalchuk, Sergey V., et al. “Towards Management of Complex Modeling through a Hybrid Evolutionary Identification.” Proceedings of the Genetic and Evolutionary Computation Conference Companion, July 2018. Crossref, https://doi.org/10.1145/3205651.3205751.