Particle Swarm Optimization that changes its network structure
| Project/Area Number |
24700226
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Kagawa University |
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Principal Investigator |
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| Project Period (FY) |
2012-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2014: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Keywords | 群知能 / 非線形最適化 / 非線形工学 / 非線形解析 / 粒子群最適化 / 非線形最適化問題 / ホタル・アルゴリズム / 粒子群最適化法 |
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| Outline of Final Research Achievements |
This study proposed a novel Particle Swarm Optimization (PSO) that changes its neighborhood structure dynamically with time. Furthermore, the proposed PSO was applied to various real world applications such as a parameter detection on the circuit design and an multi-objective problems on the communication network.
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Report
(5 results)
Research Products
(24 results)
