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Cluster-Based Optimization of an Evacuation Process Using a Parallel Bi-Objective Real-Coded Genetic Algorithm Cover

Cluster-Based Optimization of an Evacuation Process Using a Parallel Bi-Objective Real-Coded Genetic Algorithm

Cybernetics and Information Technologies
Volume 20 (2020): Issue 3 (September 2020)
By: Andranik S. Akopov,  Levon A. Beklaryan and  Armen L. Beklaryan  
Open Access
|Sep 2020

Authors

Andranik S. Akopov

aakopov@hse.ru

National Research University Higher School of Economics, Moscow, Russian Federation
Central Economics and Mathematics Institute of Russian Academy of Sciences, Moscow, Russian Federation

Levon A. Beklaryan

beklar@cemi.rssi.ru

Central Economics and Mathematics Institute of Russian Academy of Sciences, Moscow, Russian Federation

Armen L. Beklaryan

abeklaryan@hse.ru

National Research University Higher School of Economics, Moscow, Russian Federation
DOI: https://doi.org/10.2478/cait-2020-0027 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 45 - 63
Submitted on: May 14, 2020
|
Accepted on: Jun 30, 2020
|
Published on: Sep 13, 2020
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Cluster-based multi-objective optimization,
human crowd behavior,
real-coded genetic algorithms,
multi-agent systems,
fuzzy clustering
Related subjects:
Computer sciences,
Information technology

© 2020 Andranik S. Akopov, Levon A. Beklaryan, Armen L. Beklaryan, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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