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Optimal manoeuvre for two cooperative military elements under uncertain enemy threat

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dc.title Optimal manoeuvre for two cooperative military elements under uncertain enemy threat en
dc.contributor.author Hrabec, Dušan
dc.contributor.author Mazal, Jan
dc.contributor.author Stodola, Petr
dc.relation.ispartof International Journal of Operational Research
dc.identifier.issn 1745-7645 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2019
utb.relation.volume 35
utb.relation.issue 2
dc.citation.spage 263
dc.citation.epage 277
dc.type article
dc.language.iso en
dc.publisher Inderscience Enterprises Ltd.
dc.identifier.doi 10.1504/IJOR.2019.100728
dc.relation.uri https://www.inderscience.com/info/inarticle.php?artid=100728
dc.subject Cooperative military elements en
dc.subject Decision-making en
dc.subject Mathematical modelling en
dc.subject Military tactics en
dc.subject Operations research en
dc.subject Optimal/safe manoeuvre en
dc.subject Shortest path en
dc.subject Stochastic optimisation en
dc.description.abstract Consider an armed military group of two friendly elements that need to move between two given locations – a starting point and an end point – in an environment with the possible presence of armed enemy elements. The potential positions of the enemy may or may not be known in advance. Therefore, we capture the possible threat by identifying the locations that are advantageous from the enemy’s perspective. We model the problem using a stochastic programming approach. We then provide a deterministic reformulation of the problem in consideration of this possible threat and, through the use of cooperation, we minimise the total predicted threat as well as the suitability of the terrain for movement (or total length). Finally, we provide concrete experimental calculations and visualisations in our tactical information system, which serves as a tool for commanders to support their decision-making processes, and compare the obtained results to a selection of different approaches. Copyright © 2019 Inderscience Enterprises Ltd. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1009012
utb.identifier.obdid 43881000
utb.identifier.scopus 2-s2.0-85069471432
utb.source j-scopus
dc.date.accessioned 2019-08-16T09:30:16Z
dc.date.available 2019-08-16T09:30:16Z
utb.ou CEBIA-Tech
utb.contributor.internalauthor Hrabec, Dušan
utb.fulltext.sponsorship This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme Project No. LO1303 (MSMT-7778/2014), and also by the European Regional Development Fund under the Project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089.
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, Zlín, 760 05, Czech Republic; Faculty of Military Leadership, University of Defence, Kounicova 65, Brno, 662 10, Czech Republic
utb.fulltext.projects LO1303
utb.fulltext.projects MSMT-7778/2014
utb.fulltext.projects CZ.1.05/2.1.00/03.0089
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