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  <titleInfo>
    <title>New frontier in evolutionary algorithms</title>
    <subTitle>theory and applications</subTitle>
  </titleInfo>
  <titleInfo type="alternative">
    <title>New frontiers in evolutionary algorithms</title>
  </titleInfo>
  <name type="personal">
    <namePart>Iba, Hitoshi</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Noman, Nasimul</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">enk</placeTerm>
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    <place>
      <placeTerm type="text">London</placeTerm>
    </place>
    <publisher>Imperial College Press</publisher>
    <dateIssued>2012</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xii, 304 p. : ill ; 24 cm.</extent>
  </physicalDescription>
  <tableOfContents>Introduction -- A practical guide to genetic algorithms using Excel simulators -- Real-valued GA and its variants -- Theoretical background of GA search performance -- The memetic computing approach -- Real-world applications of evolutionary algorithms -- Appendix A : GA simulators -- Appendix B : PSO and BUGS simulators -- Appendix C : Mathematical model of NFL</tableOfContents>
  <targetAudience authority="marctarget">specialized</targetAudience>
  <note type="statement of responsibility">Hitoshi Iba, Nasimul Noman</note>
  <note>Includes bibliographical references and index</note>
  <subject authority="lcsh">
    <topic>Algorithms</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Genetic algorithms</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Evolutionary computation</topic>
  </subject>
  <identifier type="isbn">9781848166813 (hbk.)</identifier>
  <identifier type="isbn">1848166818 (hbk.)</identifier>
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