<?xml version="1.0" encoding="UTF-8"?>

<rdf:RDF
   xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
   xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#"
   xmlns="http://purl.org/rss/1.0/"
   xmlns:dc="http://purl.org/dc/elements/1.1/"
   xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/"
   xmlns:dcterms="http://purl.org/dc/terms/"

>
<channel rdf:about="http://www.citeulike.org/about">
<pubDate>Sun, 06 Jul 2008 10:59:57 BST</pubDate>


	<title>CiteULike: dcastros annealing</title>
	<description>CiteULike: dcastros annealing</description>


	<link>http://www.citeulike.org/user/dcastro/tag/annealing</link>
	<dc:publisher>CiteULike.org</dc:publisher>
	<dc:language>en-gb</dc:language>
	<dc:rights>Copyright &#169; 2004-2008 citeulike.org</dc:rights>
	<items>
    <rdf:Seq>
        <rdf:li rdf:resource="http://www.citeulike.org/user/dcastro/article/2883749"/>
        <rdf:li rdf:resource="http://www.citeulike.org/user/dcastro/article/1915450"/>

	</rdf:Seq>
	</items>
	</channel>


<item rdf:about="http://www.citeulike.org/user/dcastro/article/2883749">
    <title>Investigation of Simulated annealing, ant-colony optimization, and genetic algorithms for self-structuring antennas</title>
    <link>http://www.citeulike.org/user/dcastro/article/2883749</link>
    <description>&lt;i&gt;Antennas and Propagation, IEEE Transactions on, Vol. 52, No. 4. (2004), pp. 1007-1014.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;A self-structuring antenna (SSA) is capable of arranging itself into a large number of configurations. Because the properties of the configurations are generally unknown at the onset of operation, efficient search algorithms are required to find suitable configurations for a given set of environmental and operational conditions. This paper investigates the use of ant-colony optimization, simulated annealing, and genetic algorithms for finding suitable antenna states. The implementation of each algorithm for SSA searches is described, and the performance of each algorithm is compared to a random search.</description>
    <dc:title>Investigation of Simulated annealing, ant-colony optimization, and genetic algorithms for self-structuring antennas</dc:title>

    <dc:creator>CM Coleman</dc:creator>
    <dc:creator>EJ Rothwell</dc:creator>
    <dc:creator>JE Ross</dc:creator>
    <dc:identifier>doi:10.1109/TAP.2004.825658</dc:identifier>
    <dc:source>Antennas and Propagation, IEEE Transactions on, Vol. 52, No. 4. (2004), pp. 1007-1014.</dc:source>
    <dc:date>2008-06-11T20:22:20-00:00</dc:date>
    <prism:publicationYear>2004</prism:publicationYear>
    <prism:publicationName>Antennas and Propagation, IEEE Transactions on</prism:publicationName>
    <prism:volume>52</prism:volume>
    <prism:number>4</prism:number>
    <prism:startingPage>1007</prism:startingPage>
    <prism:endingPage>1014</prism:endingPage>
    <prism:category>algorithm</prism:category>
    <prism:category>annealing</prism:category>
    <prism:category>antenna</prism:category>
    <prism:category>genetic</prism:category>
    <prism:category>optimization</prism:category>
</item>



<item rdf:about="http://www.citeulike.org/user/dcastro/article/1915450">
    <title>A tutorial survey of theory and applications of simulated annealing</title>
    <link>http://www.citeulike.org/user/dcastro/article/1915450</link>
    <description>&lt;i&gt;Decision and Control, 1985 24th IEEE Conference on, Vol. 24 (1985), pp. 755-760.&lt;/i&gt;&lt;br /&gt;&lt;br /&gt;Annealing is the process of slowly cooling a physical system in order to obtain states with globally minimum energy. By simulating such a process, near globally-minimum-cost solutions can be found for very large optimization problems. The purpose of this paper is to review the basic theory of simulated annealing, to survey its recent applications, and to survey the theoretical approaches that have been used to study the technique. The applications include image restoration, combinatorial optimization (eg VLSI routing and placement), code design for communication systems and certain aspects of artificial intelligence. The theoretical tools for analysis include the theory of nonstationary Markov chains, statistical physics analysis techniques, large deviation theory and singular perturbation theory.</description>
    <dc:title>A tutorial survey of theory and applications of simulated annealing</dc:title>

    <dc:creator>Bruce Hajek</dc:creator>
    <dc:source>Decision and Control, 1985 24th IEEE Conference on, Vol. 24 (1985), pp. 755-760.</dc:source>
    <dc:date>2007-11-14T19:17:15-00:00</dc:date>
    <prism:publicationYear>1985</prism:publicationYear>
    <prism:publicationName>Decision and Control, 1985 24th IEEE Conference on</prism:publicationName>
    <prism:volume>24</prism:volume>
    <prism:startingPage>755</prism:startingPage>
    <prism:endingPage>760</prism:endingPage>
    <prism:category>annealing</prism:category>
    <prism:category>simulation</prism:category>
    <prism:category>tutorial</prism:category>
</item>



</rdf:RDF>

