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- Matsui Takeshi
- Hiroshima University
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- Sakawa Masatoshi
- Hiroshima University
Bibliographic Information
- Other Title
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- 遺伝的アルゴリズムに対する複雑ネットワークの概念の導入による性能改善
- イデンテキ アルゴリズム ニ タイスル フクザツ ネットワーク ノ ガイネン ノ ドウニュウ ニ ヨル セイノウ カイゼン
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Abstract
Genetic algorithm (GA) is an approximate solution method supposed that a network exists. In this research, focusing on integer programming problems, we improve the performance of GA incorporating complex networks. Furthermore, we show the efficiency of the proposed GA method by comparing it with an existing method through the application of them into the numerical examples.
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 28 (0), 149-152, 2012
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390282680650716416
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- NII Article ID
- 130005456071
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- NII Book ID
- AA12165648
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- ISSN
- 18820212
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- NDL BIB ID
- 023987970
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed