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このアイテムの引用には次の識別子を使用してください: http://hdl.handle.net/10119/16691

タイトル: Designing Traffic-Sensitive Controllers for Multi-Car Elevators Through Evolutionary Multi-objective Optimization
著者: Ikeda, Kokolo
Suzuki, Hiromichi
Markon, Sandor
Kita, Hajime
発行日: 2007
出版者: Springer
誌名: Lecture Notes in Computer Science
巻: 4403
開始ページ: 673
終了ページ: 686
DOI: 10.1007/978-3-540-70928-2_51
抄録: Multi-Car Elevator (MCE) that has several elevator cars in a single shaft attracts attention for improvement of transportation in high-rise buildings. However, because of lack of experience of such novel systems, design of controller for MCE is very difficult engineering problem. One of the promising approaches is application of evolutionary optimization to from-scratch optimization of the controller through discrete event simulation of the MCE system. In the present paper, the authors propose application of evolutionary multi-objective optimization to design of traffic-sensitive MCE controller. The controller for MCE is optimized for different traffic conditions in multi-objective way. By combining the multi-objective optimization with the exemplar-based policy (EBP) representation that has adequate flexibility and generalization ability as a controller, we can successfully design a controller that performs well both in the different traffic conditions and works adequately by generalization in the conditions not used in the optimization process.
Rights: This is the author-created version of Springer, Kokolo Ikeda, Hiromichi Suzuki, Sandor Markon, Hajime Kita, Lecture Notes in Computer Science, 4403, 2007, 673-686. The original publication is available at www.springerlink.com, https://doi.org/10.1007/978-3-540-70928-2_51
URI: http://hdl.handle.net/10119/16691
資料タイプ: author
出現コレクション:b10-1. 雑誌掲載論文 (Journal Articles)

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