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		<citationkey>SantiagoJúnior:2020:HyBaEv</citationkey>
		<title>Hyper-heuristics based on Evolutionary Algorithms and their applications</title>
		<format>On-line.</format>
		<year>2020</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>89850 KiB</size>
		<author>Santiago Júnior, Valdivino Alexandre de,</author>
		<resumeid>8JMKD3MGP5W/3C9JJB5</resumeid>
		<group>LABAC-COCTE-INPE-MCTIC-GOV-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>valdivino.santiago@inpe.br</electronicmailaddress>
		<conferencename>Workshop dos Cursos de Computação Aplicada do INPE, 20 (WORCAP)</conferencename>
		<conferencelocation>São José dos Campos</conferencelocation>
		<date>8-11 e 14-17 set. 2020</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<booktitle>Vídeos</booktitle>
		<tertiarytype>palestra</tertiarytype>
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		<abstract>Hyper-heuristics are a class of high-level search techniques whose goal is to raise the level of generality at which search methods work. In hyper-heuristics, the search is performed in the space of heuristics (or heuristics components) instead of being performed directly in the decision space (space of solutions). In this talk, I will address particularly selection hyper-heuristics based on Evolutionary Algorithms, presenting their main concepts and some recent applications, including optimisation of space systems.</abstract>
		<area>COMP</area>
		<language>pt</language>
		<targetfile>Hyper-heuristics based on Evolutionary Algorithms & applications - Dr. Valdivino Santiago.mp4</targetfile>
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		<notes>(49 min)</notes>
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		<agreement>{Valdivino Santiago.pdf} .htaccess .htaccess2</agreement>
		<url>http://mtc-m16c.sid.inpe.br/rep-/sid.inpe.br/mtc-m16c/2020/11.05.17.29</url>
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