Aid for Decision Making in Multi-Objective Design Optimization Based on Learning and Game Theories
| Project/Area Number |
24686015
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| Research Category |
Grant-in-Aid for Young Scientists (A)
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| Allocation Type | Partial Multi-year Fund |
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| Research Field |
Engineering fundamentals
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| Research Institution | Tohoku University |
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Principal Investigator |
SHIMOYAMA Koji 東北大学, 流体科学研究所, 准教授 (80447185)
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| Project Period (FY) |
2012-04-01 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥13,650,000 (Direct Cost: ¥10,500,000、Indirect Cost: ¥3,150,000)
Fiscal Year 2014: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2013: ¥2,600,000 (Direct Cost: ¥2,000,000、Indirect Cost: ¥600,000)
Fiscal Year 2012: ¥8,450,000 (Direct Cost: ¥6,500,000、Indirect Cost: ¥1,950,000)
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| Keywords | 意思決定 / 多目的最適設計 / 学習 |
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| Outline of Final Research Achievements |
This study has developed an approach for decision making, which can choose appropriate design candidates to be adopted by designers from many optimal solutions available in multi-objective optimization. This approach consists of new modules for distinguishing a trade-off structure based on leaning theory and for presenting neutral design candidates based on game theory together with the existing multi-objective design optimization module. This approach has been applied to test problems and real-world design problem, which demonstrates superior performance and effectiveness compared to conventional approaches.
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Report
(4 results)
Research Products
(13 results)
