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  <titleInfo>
    <title>Practical Handbook of Genetic Algorithms</title>
    <subTitle>New Frontiers, Volume II</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Lance D. Chambers</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
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  <originInfo>
    <publisher>CRC Press</publisher>
    <dateIssued>19950815</dateIssued>
    <edition>1</edition>
    <issuance/>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">ng </languageTerm>
  </language>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>448 p</extent>
  </physicalDescription>
  <abstract>The mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. But what exactly is a genetic algorithm? A genetic algorithm is a problem-solving method that uses genetics as its model of problem solving. It applies the rules of reproduction, gene crossover, and mutation to pseudo-organisms so those "organisms" can pass beneficial and survival-enhancing traits to new generations. GAs are useful in the selection of parameters to optimize a system's performance. A second potential use lies in testing and fitting quantitative models. Unlike any other book available, this interesting new text/reference takes you from the construction of a simple GA to advanced implementations. As you come to understand GAs and their processes, you will begin to understand the power of the genetic-based problem-solving paradigms that lie behind them.</abstract>
  <identifier type="isbn">9780849325298</identifier>
  <identifier type="stock number">Taylor &amp; Francis</identifier>
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