2020 Fiscal Year Final Research Report
Research and Development on Multi-objective Optimization Solver based on Advanced Knowledge Representation and Reasoning Techniques
| Project/Area Number |
18K11242
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 60050:Software-related
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| Research Institution | Nagoya University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
宋 剛秀 神戸大学, 情報基盤センター, 准教授 (00625121)
田村 直之 神戸大学, 情報基盤センター, 教授 (60207248)
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| Project Period (FY) |
2018-04-01 – 2021-03-31
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| Keywords | 解集合プログラミング / 最適化 / 時間割問題 |
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| Outline of Final Research Achievements |
Answer Set Programming (ASP), derived from Logic Programming, is an approach to declarative problem solving. We develop an approach to solving multi-objective optimization problems based on ASP. We show the effectiveness of our approach by empirically contrasting it to more dedicated implementations, through real-world problems such as timetabling.
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| Free Research Field |
情報学基礎
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| Academic Significance and Societal Importance of the Research Achievements |
近年，解集合プログラミング技術は大きく進歩し，今後ますますの発展が見込まれる．本研究課題の成果は，高度な知識表現・推論・最適化を必要とするアプリケーション開発において，高性能かつ高機能な推論基盤を提供するものであり，様々な研究分野での活用が期待できる．例えば，多目的最適化は人工知能における選考 (preference) とも密接な関係があり，この研究分野への波及効果も大きく期待できる．
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