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  xmlns:dcterms="http://purl.org/dc/terms/"><dc:Title>Evolutionary algorithms for mobile ad hoc networks / Bernabé Dorronsoro [and others]. [electronic resource]</dc:Title>
<dc:Creator>Dorronsoro, Bernabé.</dc:Creator>
<dc:Subject>Mobile communication systems.</dc:Subject>
<dc:Subject>Evolutionary computation.</dc:Subject>
<dc:Subject>Genetic algorithms.</dc:Subject>
<dc:Subject>TK6570.M6 D65 2014</dc:Subject>
<dc:Subject>621.382/1201519625 23</dc:Subject>
<dc:Description>Includes bibliographical references.</dc:Description>
<dc:Description>Print version record.</dc:Description>
<dc:Description>This comprehensive guide describes how evolutionary algorithms (EA) may be used to identify, model, and optimize day-to-day problems that arise for researchers in optimization and mobile networking. It provides efficient and accurate information on dissemination algorithms, topology management, and mobility models to address challenges in the field. It is an ideal book for researchers and students in the field of mobile networks.</dc:Description>
<dc:Publisher>Hoboken : Wiley,</dc:Publisher>
<dc:Date>2014.</dc:Date>
<dc:Date>2014.</dc:Date>
<dc:Date>2014</dc:Date>
<dc:Type>Text</dc:Type>
<dc:Format>1 online resource (238 pages).</dc:Format>
<dc:Identifier>http://onlinelibrary.wiley.com/book/10.1002/9781118833209</dc:Identifier>
<dc:Language>eng</dc:Language>
<dc:Relation>Nature-Inspired Computing Series</dc:Relation>
<dc:Relation>Nature-inspired computing series.</dc:Relation>
<dc:Relation>Evolutionary algorithms for mobile ad hoc networks.</dc:Relation>
<dc:Relation>Evolutionary algorithms for mobile ad hoc networks.</dc:Relation>

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