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Real-time Allocation of Firing Units To Hostile Targets
University of Skövde, School of Humanities and Informatics. University of Skövde, The Informatics Research Centre. University of Skövde, Skövde Artificial Intelligence Lab (SAIL).
University of Skövde, The Informatics Research Centre. University of Skövde, School of Humanities and Informatics. University of Skövde, Skövde Artificial Intelligence Lab (SAIL).ORCID iD: 0000-0001-8884-2154
2011 (English)In: Journal of Advances in Information Fusion, ISSN 1557-6418, Vol. 6, no 2, 187-199 p.Article in journal (Refereed) Published
Abstract [en]

The protection of defended assets such as military bases and population centers against hostile targets (e.g., aircrafts, missiles, and rockets) is a highly relevant problem in the military conflicts of today and tomorrow. In order to neutralize threats of this kind, they have to be detected and engaged before causing any damage to the defended assets. We review algorithms for solving the resource allocation problem in real-time, and empirically investigate their performance using the open source testbed SWARD. The reults show that many of the tested algorithms produce high quality solutions for small-scale problems. A novel vaiant of particle swarm optimization seeded with an enhanced greedy algorithm is described and is shown to perform best for large instances of the real-time allocation problem.

Place, publisher, year, edition, pages
ISIF, International Society of Information Fusion , 2011. Vol. 6, no 2, 187-199 p.
National Category
Computer Science
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-6299OAI: oai:DiVA.org:his-6299DiVA: diva2:545503
Available from: 2012-08-20 Created: 2012-08-20 Last updated: 2014-05-16Bibliographically approved

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  • apa
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