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An empirical investigation of the static weapon-target allocation problem
Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Högskolan i Skövde, Skövde Artificial Intelligence Lab (SAIL).
Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Högskolan i Skövde, Skövde Artificial Intelligence Lab (SAIL).ORCID-id: 0000-0001-8884-2154
2009 (engelsk)Inngår i: Proceedings of the 3rd Skövde Workshop on Information Fusion Topics (SWIFT 2009) / [ed] Ronnie Johansson, Joeri van Laere and Jonas Mellin, University of Skövde , 2009, s. 63-67Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The allocation of weapons to targets (such as missiles and hostile aircrafts) is a well-known resource allocation problem within the field of operations research. It has been proven that this problem, in general, is NP-complete. For this reason, optimal solutions to the static weapon-target allocation (WTA) problem can not be obtained in real-time for large-scale problems. We try to find the limit for how large problems that can be solved optimally in real-time by exhaustive search algorithms through running empirical experiments. We also propose a heuristic genetic algorithm for solving larger-scale problems.

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University of Skövde , 2009. s. 63-67
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Skövde University Studies in Informatics, ISSN 1653-2325 ; 2009:3
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URN: urn:nbn:se:his:diva-3547ISBN: 978-91-978513-2-9 OAI: oai:DiVA.org:his-3547DiVA, id: diva2:284585
Konferanse
Proceedings of the 3rd Skövde Workshop on Information Fusion Topics (SWIFT 2009), 12-13 Oct 2009, Skövde, Sweden
Tilgjengelig fra: 2010-01-07 Laget: 2010-01-07 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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Johansson, FredrikFalkman, Göran

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Totalt: 220 treff
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