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Optimization based on discrete structure representations
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- Hatano KOhei
- Principal Investigator
- 九州大学
-
- 瀧本 英二
- Co-Investigator
- 九州大学
About This Project
- Japan Grant Number
- JP19H04174 (JGN)
- Funding Program
- Grants-in-Aid for Scientific Research
- Funding Organization
- Japan Society for the Promotion of Science
Kakenhi Information
- Project/Area Number
- 19H04174
- Research Category
- Grant-in-Aid for Scientific Research (B)
- Allocation Type
-
- Single-year Grants
- Review Section / Research Field
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- Basic Section 61030:Intelligent informatics-related
- Research Institution
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- Kyushu University
- Project Period (FY)
- 2019-04-01 〜 2022-03-31
- Project Status
- Completed
- Budget Amount*help
- 12,090,000 Yen (Direct Cost: 9,300,000 Yen Indirect Cost: 2,790,000 Yen)
Research Abstract
本課題では,1)問題やデータの離散構造表現を求めた上で,2)離散構造表現に基づく最適化を行う,という新たな最適化の枠組を提案する.この枠組の具体例としては,BDD/ZDDといった圧縮データ表現上で動作する機械学習手法などが挙げられる.本課題では,最適化に適した離散構造表現,離散構造表現に適した最適化手法という2つの側面から最適化を捉え直すことにより新たな最適化基盤技術を確立し,最適化手法の抜本的な高速化ないし省スペース化を達成する.