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<bibitem type="M">   <ARLID>0340153</ARLID> <utime>20240111140736.9</utime><mtime>20100303235959.9</mtime>   <WOS>000275281800003</WOS> <SCOPUS>77950224134</SCOPUS>  <DOI>10.1007/978-3-642-10707-8</DOI>           <title language="eng" primary="1">Chaos Theory for Evolutionary Algorithms Researchers</title>  <specification> <page_count>55 s.</page_count> <book_pages>521</book_pages>  </specification>   <serial><ARLID>cav_un_epca*0340151</ARLID><ISBN>978-3-642-10706-1</ISBN><ISSN>1860-949X</ISSN><title>Evolutionary Algorithms and Chaotic Systems</title><part_num/><part_title/><page_num>89-143</page_num><publisher><place>Berlin</place><name>Springer-Verlag</name><year>2010</year></publisher><editor><name1>Zelinka</name1><name2>I.</name2></editor><editor><name1>Čelikovský</name1><name2>S.</name2></editor><editor><name1>Richter</name1><name2>H.</name2></editor><editor><name1>Chen</name1><name2>G.</name2></editor></serial>    <keyword>Complex Systems</keyword>   <keyword>Computational Intelligence</keyword>   <keyword>Deterministic Chaos</keyword>   <keyword>Evolutionary Computation</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101074</ARLID> <name1>Čelikovský</name1> <name2>Sergej</name2> <full_dept language="cz">Teorie řízení</full_dept> <full_dept language="eng">Department of Control Theory </full_dept> <department language="cz">TŘ</department> <department language="eng">TR</department> <institution>UTIA-B</institution> <full_dept>Department of Control Theory</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0237374</ARLID> <name1>Zelinka</name1> <name2>I.</name2> <country>CZ</country>  </author>   <source> <source_type>pdf soubor</source_type> <url>http://library.utia.cas.cz/separaty/2010/TR/celikovsky-0340153.pdf</url> </source>        <cas_special> <project> <project_id>GA102/08/0186</project_id> <agency>GA ČR</agency> <country>CZ</country> <ARLID>cav_un_auth*0239127</ARLID> </project> <research> <research_id>CEZ:AV0Z10750506</research_id> </research>  <abstract language="eng" primary="1">This chapter deals with chaotic systems. Based on the characterization of deterministic chaos, universal features of that kind of behavior are explained. It is shown that despite the deterministic nature of chaos, long term behavior is unpredictable. This is called sensitivity to initial conditions. We further give a concept on quantifying chaotic dynamics: the Lyapunov exponent. Moreover, we explain how chaos can originate from order by period doubling, intermittence, chaotic transients and crises.</abstract>     <reportyear>2010</reportyear>  <RIV>BC</RIV>     <unknown tag="mrcbC52"> 4 A 4a 20231122133935.8 </unknown>  <permalink>http://hdl.handle.net/11104/0183455</permalink>         <arlyear>2010</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: celikovsky-0340153.pdf </unknown>    <unknown tag="mrcbU14"> 77950224134 SCOPUS </unknown> <unknown tag="mrcbU34"> 000275281800003 WOS </unknown> <unknown tag="mrcbU56"> pdf soubor </unknown> <unknown tag="mrcbU63"> cav_un_epca*0340151 Evolutionary Algorithms and Chaotic Systems 978-3-642-10706-1 1860-949X 89 143 Berlin Springer-Verlag 2010 Studies in Computational Intelligence 267 </unknown> <unknown tag="mrcbU67"> Zelinka I. 340 </unknown> <unknown tag="mrcbU67"> Čelikovský S. 340 </unknown> <unknown tag="mrcbU67"> Richter H. 340 </unknown> <unknown tag="mrcbU67"> Chen G. 340 </unknown> </cas_special> </bibitem>