DNA computing approach to optimal decision problems

Junzo Watada*, Satoshi Kojima, Satomi Ueda, Osamu Ono

*この研究の対応する著者

    研究成果: Conference contribution

    8 被引用数 (Scopus)

    抄録

    Recently, artificial intelligence is widely employed to controlling elevators. On the other hand, we encounter such inefficient situations that all elevators are moving in the same direction or that all elevators come to the same floor even in rush hours of the morning. In order to resolve such situations all elevators should be controlled to assign the best elevator to passengers according time to time change of passengers. The group control system is employed in selection of driving patterns according to the change of traffic volumes or driving management in accidents. Such a group control realizes comfortable, safe and economical management of elevators. The objective of this paper is to apply DNA computing to calculate complex and huge combinatorial problems of a group of elevators and huge number of floors. The optimal solution will be presented to the group control of elevators on the basis of the DNA computing.

    本文言語English
    ホスト出版物のタイトルIEEE International Conference on Fuzzy Systems
    ページ1579-1584
    ページ数6
    3
    DOI
    出版ステータスPublished - 2004
    イベント2004 IEEE International Conference on Fuzzy Systems - Proceedings - Budapest
    継続期間: 2004 7 252004 7 29

    Other

    Other2004 IEEE International Conference on Fuzzy Systems - Proceedings
    CityBudapest
    Period04/7/2504/7/29

    ASJC Scopus subject areas

    • ソフトウェア
    • 安全性、リスク、信頼性、品質管理
    • 化学的な安全衛生

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