DNA computing approach to optimal decision problems

Junzo Watada, Satoshi Kojima, Satomi Ueda, Osamu Ono

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publicationIEEE International Conference on Fuzzy Systems
    Pages1579-1584
    Number of pages6
    Volume3
    DOIs
    Publication statusPublished - 2004
    Event2004 IEEE International Conference on Fuzzy Systems - Proceedings - Budapest
    Duration: 2004 Jul 252004 Jul 29

    Other

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

    ASJC Scopus subject areas

    • Software
    • Safety, Risk, Reliability and Quality
    • Chemical Health and Safety

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  • Cite this

    Watada, J., Kojima, S., Ueda, S., & Ono, O. (2004). DNA computing approach to optimal decision problems. In IEEE International Conference on Fuzzy Systems (Vol. 3, pp. 1579-1584) https://doi.org/10.1109/FUZZY.2004.1375414