<?xml version='1.0' encoding='UTF-8'?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
  <responseDate>2026-03-13T11:53:50Z</responseDate>
  <request metadataPrefix="oai_dc" identifier="oai:fit.repo.nii.ac.jp:00000449" verb="GetRecord">https://fit.repo.nii.ac.jp/oai</request>
  <GetRecord>
    <record>
      <header>
        <identifier>oai:fit.repo.nii.ac.jp:00000449</identifier>
        <datestamp>2023-05-15T13:47:34Z</datestamp>
        <setSpec>256:257:300</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns="http://www.w3.org/2001/XMLSchema" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>ジコ ソシキカ マップホウ ニヨル ジュンカイ セールスマン モンダイ ノ カイホウ ２</dc:title>
          <dc:title>自己組織化マップ法による巡回セールスマン問題の解法Ⅱ</dc:title>
          <dc:title>Semi-Optimum Solution of Traveling Salesman Problem by Self-Organizing MapsⅡ</dc:title>
          <dc:creator>西見, 康平</dc:creator>
          <dc:creator>2124</dc:creator>
          <dc:creator>加藤, 友彦</dc:creator>
          <dc:creator>2126</dc:creator>
          <dc:subject>traveling salesman problem</dc:subject>
          <dc:subject>NP-complete problem</dc:subject>
          <dc:subject>self-organizing map</dc:subject>
          <dc:subject>traveling salesman problem</dc:subject>
          <dc:subject>NP-complete problem</dc:subject>
          <dc:subject>self-organizing map</dc:subject>
          <dc:description>application/pdf</dc:description>
          <dc:description>論文(Article)</dc:description>
          <dc:description>The traveling salesman problem is one of the most difficult problems in optimization problems. In this study we improve the method of B. Angeniol et al.based on the self-organizing maps (SOM) by T.Kohonen in several points. We apply the present method systematically to 100-, 500-, 1000-, 5000-, 11849-city problem. The result shows that the computing time is proportional to approximately the square of the number of cities. That is,the present method gives a polynomial algorithm, though within the limits of semi-optimum solutions, for the traveling salesman problem that is one of the representative problems of the NP complete problem.</dc:description>
          <dc:description>departmental bulletin paper</dc:description>
          <dc:publisher>福岡工業大学</dc:publisher>
          <dc:date>2009-09-28</dc:date>
          <dc:type>VoR</dc:type>
          <dc:format>application/pdf</dc:format>
          <dc:identifier>福岡工業大学研究論集</dc:identifier>
          <dc:identifier>1</dc:identifier>
          <dc:identifier>42</dc:identifier>
          <dc:identifier>11</dc:identifier>
          <dc:identifier>17</dc:identifier>
          <dc:identifier>02876620</dc:identifier>
          <dc:identifier>AN10036974</dc:identifier>
          <dc:identifier>https://fit.repo.nii.ac.jp/record/449/files/11478-985_p11加藤　友彦.pdf</dc:identifier>
          <dc:identifier>http://hdl.handle.net/11478/985</dc:identifier>
          <dc:identifier>https://fit.repo.nii.ac.jp/records/449</dc:identifier>
          <dc:language>jpn</dc:language>
        </oai_dc:dc>
      </metadata>
    </record>
  </GetRecord>
</OAI-PMH>
