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Bibliographic Record
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- Material Type
- 文書・図像類
- Author/Editor
- 小野, 智司
- Author Heading
- Publication, Distribution, etc.
- Alternative Title
- Development of Cooperative Optimization Method Based on Dynamic Rearrangement of Search Roles Between User and System
- Text Language Code
- jpn
- Target Audience
- 一般
- Note (General)
- 2011-2012年度科学研究費助成事業(科学研究費補助金(若手研究(B))研究成果報告書 課題番号：23700272 研究代表者：小野智司(鹿児島大学・大学院理工学研究科・准教授)本研究では，暗黙で曖昧な嗜好（質的）と明確な最適化指標（量的）との双方をもとに最適化を行う問題において，システムと利用者が協調して最適化を行う方式（User-System Cooperative Evolution:CEUS）を開発した．一般的な方式は，利用者とシステムの対話方法や役割分担が固定的である．提案するCEUSは，システムと利用者の間で解候補の生成と評価をどのように分担するか，探索の任意の段階で利用者による調整を許す点に特徴がある．CEUSを利用することで，利用者の負担を増やすことなく，質的，量的双方の目的関数を同時に最適化することが可能となった．This research proposed User-System Cooperative Evolution (CEUS), which allows a user to dynamically change search roles between the user and a system. CEUS was designed to solve design and planning problems which involve both implicit, ambiguous preferences and explicit optimization criteria. In general optimization methods, a role assignment between a user and system and timing of user operation were determined and not changed during the search. The proposed CEUS allows the user to dynamically change search role allocation between the system and the user by user evaluation prediction and integration of interactive and non-interactive evolutionary computation, resulting in simultaneous optimization of qualitative and quantitative objective functions without increasing user fatigue.