Optimization Model for Initial Planning and Adaptive Modification
| Project/Area Number |
22651058
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Single-year Grants |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Osaka University |
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Principal Investigator |
MORITA Hiroshi 大阪大学, 情報科学研究科, 教授 (60210176)
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| Co-Investigator(Kenkyū-buntansha) |
UMETANI Shunji 大阪大学, 情報科学研究科, 准教授 (80367820)
HASUIKE Takashi 大阪大学, 情報科学研究科, 助教 (50557949)
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥2,910,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥510,000)
Fiscal Year 2012: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2011: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2010: ¥700,000 (Direct Cost: ¥700,000)
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| Keywords | 最適化モデル / 不確実性 / 適応的最適化 / 時空間ネットワーク / エネルギー管理システム / 適応的変更 / 頑健性 / 太陽光発電 / エネルギーマネジメントシステム |
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| Research Abstract |
We have considered the optimization models for initial planningand adaptive modification for uncertainty. We treated various problems appeared in a realworld to characterize the mathematical models to be used and uncertain factors appeared in these problems, systematically. The time space network and mixed integer programming technique are mainly utilized to the proposed adaptive optimization model. We have proposed the optimization models and their solution algorithms for several practical problems including various uncertain factors, such as a risk-adaptive project scheduling, a charge scheduling system for electric vehicles, an energy management system for smart house, an integrated scheduling system for production planning and automatic guided vehicle routing, and a recommendation system of sightseeing route.
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Report
(4 results)
Research Products
(56 results)
