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Authors: Sergey Gudin 1 ; Renat Khabibulin 2 and Denis Shikhalev 2

Affiliations: 1 Ghent university, Belgium ; 2 The State Fire Academy of EMERCOM of Russia, Russian Federation

Keyword(s): Genetic Algorithm, Oil and Gas Processing Facilities, Quantitative Risk Assessment, Optimisation.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Evolutionary Computing ; Industrial Applications of AI ; Sensor Networks ; Signal Processing ; Soft Computing

Abstract: The search for the combination of fire risk-reducing measures at oil and gas processing facilities is a complicated task. There may be a large number of measures to reduce fire risks which need to be optimized, both technically and economically. The analysis of the existing programs for risk assessment has been conducted. The structure of database with the values of risk-reducing measures has been worked out. To reduce the time required for this task, a genetic algorithm approach has been proposed.

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Paper citation in several formats:
Gudin, S.; Khabibulin, R. and Shikhalev, D. (2017). Searching the Optimal Combination of Fire Risks Reducing Measures at Oil and Gas Processing Facilities with the use of Genetic Algorithm. In Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-220-2; ISSN 2184-433X, SciTePress, pages 489-496. DOI: 10.5220/0006188904890496

@conference{icaart17,
author={Sergey Gudin. and Renat Khabibulin. and Denis Shikhalev.},
title={Searching the Optimal Combination of Fire Risks Reducing Measures at Oil and Gas Processing Facilities with the use of Genetic Algorithm},
booktitle={Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2017},
pages={489-496},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006188904890496},
isbn={978-989-758-220-2},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Searching the Optimal Combination of Fire Risks Reducing Measures at Oil and Gas Processing Facilities with the use of Genetic Algorithm
SN - 978-989-758-220-2
IS - 2184-433X
AU - Gudin, S.
AU - Khabibulin, R.
AU - Shikhalev, D.
PY - 2017
SP - 489
EP - 496
DO - 10.5220/0006188904890496
PB - SciTePress

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