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Authors: D. K. Valetov ; G. D. Neuvazhaev ; V. S. Svitelman and E. A. Saveleva

Affiliation: Nuclear Safety Institute of the Russian Academy of Sciences, Bolshaya Tulskaya Street, Moscow and Russia

Keyword(s): Groundwater Flow Modelling, Model Calibration, Optimization Methods, Safety Assessment, Uncertainties.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Co-Evolution and Collective Behavior ; Computational Intelligence ; Evolutionary Computing ; Memetic Algorithms ; Soft Computing ; Swarm/Collective Intelligence

Abstract: Due to inherent uncertainties associated with the groundwater system characterization, the model calibration is the significant step for the obtaining of the reliable predictions that could be used in long-term safety assessment. The following paper is focused on the modelling of the groundwater flow in heterogeneous media using the data of the geological engineering survey for the prospective site of the radioactive waste deep geological disposal at Nizhnekansky granite-gneiss crystalline rock massif (Krasnoyarsk Territory). This case study illustrates the efficiency of heuristic optimization methods and hybridization approach for the calibration of groundwater models.

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Paper citation in several formats:
Valetov, D.; Neuvazhaev, G.; Svitelman, V. and Saveleva, E. (2019). Hybrid Cuckoo Search and Harmony Search Algorithm and Its Modifications for the Calibration of Groundwater Flow Models. In Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - ECTA; ISBN 978-989-758-384-1; ISSN 2184-3236, SciTePress, pages 221-228. DOI: 10.5220/0008345502210228

@conference{ecta19,
author={D. K. Valetov. and G. D. Neuvazhaev. and V. S. Svitelman. and E. A. Saveleva.},
title={Hybrid Cuckoo Search and Harmony Search Algorithm and Its Modifications for the Calibration of Groundwater Flow Models},
booktitle={Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - ECTA},
year={2019},
pages={221-228},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008345502210228},
isbn={978-989-758-384-1},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - ECTA
TI - Hybrid Cuckoo Search and Harmony Search Algorithm and Its Modifications for the Calibration of Groundwater Flow Models
SN - 978-989-758-384-1
IS - 2184-3236
AU - Valetov, D.
AU - Neuvazhaev, G.
AU - Svitelman, V.
AU - Saveleva, E.
PY - 2019
SP - 221
EP - 228
DO - 10.5220/0008345502210228
PB - SciTePress

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