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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.affiliation | Dušan Hrabec *, Jan Mazal, Petr Stodola Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, 760 05 Zlín, Czech Republic Email: [email protected] *Corresponding author Faculty of Military Leadership, University of Defence, Kounicova 65, 662 10 Brno, Czech Republic Email: [email protected] Email: [email protected] | |
utb.fulltext.dates | - | |
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 | |
utb.fulltext.faculty | Faculty of Applied Informatics |