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        <identifier>oai:fit.repo.nii.ac.jp:00000703</identifier>
        <datestamp>2023-05-15T12:41:02Z</datestamp>
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          <dc:title>イデンテキ アルゴリズム ニ オケル トツゼン ヘンイ ノ カイ ニ オヨボス エイキョウ ニ ツイテ</dc:title>
          <dc:title>遺伝的アルゴリズムにおける突然変異の解におよぼす影響について</dc:title>
          <dc:title>The Effects of Mutations on Solutions in Genetic Algorithm</dc:title>
          <dc:creator>百原, 武敏</dc:creator>
          <dc:creator>3276</dc:creator>
          <dc:creator>荒屋, 真二</dc:creator>
          <dc:creator>3277</dc:creator>
          <dc:subject>Genetic algorithm</dc:subject>
          <dc:subject>Mutation</dc:subject>
          <dc:subject>Knapsack Problem</dc:subject>
          <dc:subject>Genetic algorithm</dc:subject>
          <dc:subject>Mutation</dc:subject>
          <dc:subject>Knapsack Problem</dc:subject>
          <dc:description>application/pdf</dc:description>
          <dc:description>論文(Article)</dc:description>
          <dc:description>This paper discusses the characteristics of genetic algorithms from the view point of mutation. Two kinds of mutation with fixed and variable probabilities are used for the Knapsack problem in our experiments. The following results are obtained :  (1)	The quality of solution is better when using mutation of a suitable probability value than not.
(2) There exists an optimal value of mutation probability.
(3) The variable mutation method where the probability decreases together with generations could converge to the best solution.</dc:description>
          <dc:description>departmental bulletin paper</dc:description>
          <dc:publisher>福岡工業大学</dc:publisher>
          <dc:date>1996-10-30</dc:date>
          <dc:type>VoR</dc:type>
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          <dc:identifier>福岡工業大学研究論集</dc:identifier>
          <dc:identifier>1</dc:identifier>
          <dc:identifier>29</dc:identifier>
          <dc:identifier>175</dc:identifier>
          <dc:identifier>182</dc:identifier>
          <dc:identifier>RESEARCH BULLETIN OF FUKUOKA INSTITUTE OF TECHNOLOGY</dc:identifier>
          <dc:identifier>02876620</dc:identifier>
          <dc:identifier>https://fit.repo.nii.ac.jp/record/703/files/29(1)-175.pdf</dc:identifier>
          <dc:identifier>http://hdl.handle.net/11478/00001667</dc:identifier>
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