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<item>
  <id>06090600</id>
  <dt>j</dt>
  <an>06090600</an>
  <augroup>
    <au>Zhang, Weifeng</au>
  </augroup>
  <ti>The performance research of differential evolution algorithm having the simulated annealing operator.</ti>
  <so>J. Numer. Methods Comput. Appl. 32, No. 4, 301-306 (2011).</so>
  <py>2011</py>
  <pu></pu>
  <lagroup>
    <la>ZH</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>simulated annealing</ut>
    <ut>differential evolution algorithm</ut>
    <ut>optimization</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
  </ligroup>
  <abgroup>
    <ab>Summary: In order to raise the optimization performance of differential evolution algorithm, this paper introduces simulated annealing operator to differential evolution algorithm, and uses the simulated annealing operators' excellent global search capability to improve the differential evolution algorithm's optimization ability on complex problems. The simulation results show that this algorithm has quicker convergence rate and better global astringency on complex questions.</ab>
    <rv></rv>
  </abgroup>
</item>