Construction of a routing optimization algorithm
| Project/Area Number |
21700180
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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 |
Intelligent informatics
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| Research Institution | Saga University (2010-2011)
National Institute of Information and Communications Technology (2009) |
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Principal Investigator |
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| Project Period (FY) |
2009 – 2011
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| Project Status |
Completed (Fiscal Year 2011)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2011: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2010: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2009: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 学習と知識獲得 / 進化的手法 / 創発的システム設計 / 最適化手法 / IPネットワーク / 創発的システム設計法 / IPv6 / スケールフリー / ジレンマ |
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| Research Abstract |
A new optimization algorithm was proposed and the basic experiment was conducted. The result of research was summarized as four papers. We proposed the Emergent Learning Algorithm that is applied for Mutually Connected Neural Network(MCNN). The Emergent Learning Algorithm uses three types of evaluation value that are node evaluation, link evaluation and whole network evaluation. The experimental results show that the MCNN obtains optimal network structure by Emergent Learning Algorithm.
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Report
(4 results)
Research Products
(8 results)
