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<article article-type="research-article" dtd-version="1.3" xml:lang="en">
  <front>
    <journal-meta>
      <journal-title-group>
        <journal-title>St. Petersburg Polytechnic University Journal: Physics and Mathematics</journal-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Научно-технические ведомости СПбГПУ. Физико-математические науки</trans-title>
        </trans-title-group>
      </journal-title-group>
      <issn pub-type="epub">2304-9782, 2618-8686, 2405-7223</issn>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">11</article-id>
      <title-group>
        <article-title>An application of numerical evolutionary algorithm for determination of time series leading periodical components</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Применение численного эволюционного алгоритма для отыскания колебательных характеристик наблюдаемых процессов</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Zvyagin</surname>
            <given-names>Petr</given-names>
          </name>
          <email>p_zvyagin@bk.ru</email>
        </contrib>
      </contrib-group>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2009-06-10">
        <day>10</day>
        <month>06</month>
        <year>2009</year>
      </pub-date>
      <issue>2</issue>
      <issue-id pub-id-type="publisher-id">77</issue-id>
      <fpage>62</fpage>
      <lpage>70</lpage>
      <abstract xml:lang="en">
        <p>An evolutionary algorithm based on operation of arithmetical crossover is formulated. An application of this algorithm to determination of time series leading periodical components is proposed. Efficiency of practical evolutionary algorithm usage for searching time series leading components is shown.</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>evolutionary algorithms</kwd>
        <kwd>genetic algorithms</kwd>
        <kwd>numerical optimization</kwd>
        <kwd>time series</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
