| Project/Area Number |
25330265
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Prefectural University of Kumamoto |
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Principal Investigator |
IIMURA Ichiro 熊本県立大学, 総合管理学部, 教授 (50347697)
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| Co-Investigator(Kenkyū-buntansha) |
MORIYAMA Yoshifumi 有明工業高等専門学校, 准教授 (10413866)
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| Research Collaborator |
NAKAYAMA Shigeru
OHNO Tomotsugu
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| Project Period (FY) |
2013-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2015: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
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| Keywords | ソフトコンピューティング / 人工知能 / アルゴリズム / 情報工学 / 進化計算 / 計算知能 / 量子ビット表現 / 順列最適化 |
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| Outline of Final Research Achievements |
Recently, some evolutionary algorithms, which imitated quantum-mechanical principles and a quantum bit, have been proposed. The quantum-inspired evolutionary algorithm is one of these algorithms. The integer-type gene-coding method based on the qubit representation, which is used in the quantum-inspired evolutionary algorithm, can represent an integer-type gene. However, the integer-type gene-coding method cannot deal with permutations simply. This study proposed a novel gene-coding method based on the qubit representation that can represent a permutation. In the simulation experiments using computers, this study showed that the proposed gene-coding method can be applied to the traveling salesman problem which is a typical combinatorial optimization problem. This study also showed the features of the proposed gene-coding method.
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