| Budget Amount *help |
¥14,690,000 (Direct Cost: ¥11,300,000、Indirect Cost: ¥3,390,000)
Fiscal Year 2011: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000)
Fiscal Year 2010: ¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2009: ¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
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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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