2011 Fiscal Year Final Research Report
Program evolution of genetic programming based on probabilistic grammar
| Project/Area Number |
21300090
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | The University of Tokyo |
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Principal Investigator |
IBA Hitoshi 東京大学, 大学院・情報理工学系研究科, 教授 (40302773)
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| Project Period (FY) |
2009 – 2011
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| Keywords | 遺伝的プログラミング / 進化計算 / 対話型進化計算 / 遺伝的アルゴリズム / EDAアルゴリズム |
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| Research Abstract |
In this research, we have proposed the “program evolution based on the probabilistic grammar” and constructed the automatic programming method by extending Genetic Programming (GP). In this population-based method, we do not employ genetic operators, such as crossovers or mutations. Instead, we estimate the probabilistic distribution of a probabilistic grammar, according to which a program is generated. We have validated the proposed method by applying to real-world problems, e.g., design automation, robotics, financial engineering, and Web intelligence etc.
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Research Products
(22 results)
