| Project/Area Number |
24760311
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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 |
System engineering
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| Research Institution | Tokyo Metropolitan University |
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Principal Investigator |
TAMURA KENICHI 首都大学東京, 理工学研究科, 助教 (40534912)
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| Project Period (FY) |
2012-04-01 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2012: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
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| Keywords | メタヒューリスティクス / 進化計算 / 最適化 / ソフトコンピューティング / 渦現象 / 多点型最適化手法 |
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| Research Abstract |
The optimization method including heuristic operation is called metaheuristics. Most of metaheurisitics are designed based on analogy of natural or social phenomena. In this study, based on an analogy of spiral phenomena in nature, a new meteheuristics called Spiral Optimization (SPO) is developed for general continuous optimization. The performance of the developed method is verified by simulations using well known benchmark problems. In addition, although SPO has some parameters for its execution, a parameter adjustment method is proposed based on its analysis.
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