| Project/Area Number |
19500196
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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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 | Keio University |
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Principal Investigator |
AIYOSHI Eitaro Keio University, 理工学部, 教授 (90137985)
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| Co-Investigator(Kenkyū-buntansha) |
YASUDA Keiitiro 首都大学東京, 理工学研究科, 教授 (30220148)
|
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| Co-Investigator(Renkei-kenkyūsha) |
OKAMOTO Takashi 千葉大学, 工学(系)研究科(研究院), 助教 (40451752)
MASUDA Kazuaki 神奈川大学, 工学部, 特別助教 (30409924)
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| Project Period (FY) |
2007 – 2009
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| Project Status |
Completed (Fiscal Year 2009)
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| Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2009: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2008: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2007: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | 最適化手法 / 大域的最適化 / カオス / PSO / メタヒューリスティックス / 大域的最適化手法 / 結合系モデルによる最適化 / カオス最適化 |
|---|
| Research Abstract |
In order to realize mechanisms of diversification and intensification in search for an optimal solution as strategies to provide adaptability to various structures and robustness against the problem scale, the new type of global optimization algorithms by multiple search points are developed, the existing multiple search point methods such as Particle Swarm Optimization (PSO) are improved, and hybridization methods to enlarge the mechanisms of developed method are proposed. Moreover, the searching abilities of the developed, improved and proposed methods are certified through many benchmark problems for global optimization as well as applications to designing of control systems.
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