| Project/Area Number |
19700228
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | The Institute of Statistical Mathematics |
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Principal Investigator |
SOMEYA Hiroshi The Institute of Statistical Mathematics, モデリング研究系, 助教 (00333518)
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| Project Period (FY) |
2007 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
|
| Budget Amount *help |
¥3,890,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥690,000)
Fiscal Year 2009: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2008: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2007: ¥900,000 (Direct Cost: ¥900,000)
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| Keywords | 遺伝アルゴリズム / 進化型計算 / 最適化 / アルゴリズム / ソフトコンピューティング |
|---|
| Research Abstract |
In function optimization problems, the search performance of real-coded GAs is still unsatisfactory on several objective functions where, for example, the optima are located far from the center region of the search space or the landscapes have ridge structures. In the study, Asymmetrical Normal Distribution Crossover (ANDX) and eXclusive-MGG model (X-MGG) have been proposed for tackling such objective functions. Through experimental and theoretical analyses, we have deepened the understanding of promising search regions in crossover operations.
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