Real-time allocation of defensive resources to rockets, artillery, and mortars
The protection of defended assets such as military bases and population centers against ballistic weapons (e.g. rockets and mortars) 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...
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| creator | Johansson, F Falkman, G |
| description | The protection of defended assets such as military bases and population centers against ballistic weapons (e.g. rockets and mortars) 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 propose algorithms for solving the resource allocation problem in real-time, and empirically investigate their performance using the open source testbed SWARD. The results show that a particle swarm optimization algorithm produce high quality solution for small-scale problems, and that a genetic algorithm yields the best solutions for the largest tested problem instances. |
| doi_str_mv | 10.1109/ICIF.2010.5712026 |
| format | Conference Proceeding |
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In order to neutralize threats of this kind, they have to be detected and engaged before causing any damage to the defended assets. We propose algorithms for solving the resource allocation problem in real-time, and empirically investigate their performance using the open source testbed SWARD. 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The results show that a particle swarm optimization algorithm produce high quality solution for small-scale problems, and that a genetic algorithm yields the best solutions for the largest tested problem instances.</description><subject>Air defense</subject><subject>Equations</subject><subject>Heuristic algorithms</subject><subject>Particle swarm optimization</subject><subject>Random access memory</subject><subject>Real time systems</subject><subject>Resource management</subject><subject>weapon allocation</subject><subject>Weapons</subject><isbn>0982443811</isbn><isbn>9780982443811</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8FKAzEUReNCUGs_QNzkA5yal0wmyVIGqwNFQbovaeYFopmJJFHo3ztg7-aeuzlwCbkDtgFg5nHoh-2Gs2VKBZzx7oLcMKN52woNcEXWpXyyJbKTUqpr8vaBNjY1TEhtjMnZGtJMk6cjepxL-EWasaSf7LDQmmhO7gtreaA21xAj5tOC80inlKvN5ZZcehsLrs-9Ivvt875_bXbvL0P_tGuCYbXprBbGuM5Iq4zxCjl0RyFQGdCCc6eFN7rVIHWrLBNHDyMYbBVqGJ0DFCty_68NiHj4zmGy-XQ4PxZ_JipL2g</recordid><startdate>201007</startdate><enddate>201007</enddate><creator>Johansson, F</creator><creator>Falkman, G</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201007</creationdate><title>Real-time allocation of defensive resources to rockets, artillery, and mortars</title><author>Johansson, F ; Falkman, G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-6a8399c695a799f7e216b33e7918322c83f984815847a03bf1d19e47e81dcc1e3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Air defense</topic><topic>Equations</topic><topic>Heuristic algorithms</topic><topic>Particle swarm optimization</topic><topic>Random access memory</topic><topic>Real time systems</topic><topic>Resource management</topic><topic>weapon allocation</topic><topic>Weapons</topic><toplevel>online_resources</toplevel><creatorcontrib>Johansson, F</creatorcontrib><creatorcontrib>Falkman, G</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Johansson, F</au><au>Falkman, G</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Real-time allocation of defensive resources to rockets, artillery, and mortars</atitle><btitle>2010 13th International Conference on Information Fusion</btitle><stitle>ICIF</stitle><date>2010-07</date><risdate>2010</risdate><spage>1</spage><epage>8</epage><pages>1-8</pages><eisbn>0982443811</eisbn><eisbn>9780982443811</eisbn><abstract>The protection of defended assets such as military bases and population centers against ballistic weapons (e.g. rockets and mortars) 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 propose algorithms for solving the resource allocation problem in real-time, and empirically investigate their performance using the open source testbed SWARD. The results show that a particle swarm optimization algorithm produce high quality solution for small-scale problems, and that a genetic algorithm yields the best solutions for the largest tested problem instances.</abstract><pub>IEEE</pub><doi>10.1109/ICIF.2010.5712026</doi><tpages>8</tpages></addata></record> |
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| ispartof | 2010 13th International Conference on Information Fusion, 2010, p.1-8 |
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| language | eng |
| recordid | cdi_ieee_primary_5712026 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Air defense Equations Heuristic algorithms Particle swarm optimization Random access memory Real time systems Resource management weapon allocation Weapons |
| title | Real-time allocation of defensive resources to rockets, artillery, and mortars |
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