DNA computing and its application

Junzo Watada*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingChapter

    23 Citations (Scopus)


    The objectives of this Chapter are twofold: firstly to introduce DNA computation, and secondly to demonstrate how DNA computing can be applied to solve large, complex combinatorial problems, such as the optimal scheduling of a group of elevators servicing a number of floors in a multi-storey building. Recently, molecular (or wet) computing has been widely researched not only within the context of solving NP-complete/NP-hard problems -which are the most difficult problems in NP -but also implementation by way of digital (silicon-based) computers [23]. We commence with a description of the basic concepts of 'wet computation', then present recent results for the efficient management of a group of elevators.

    Original languageEnglish
    Title of host publicationStudies in Computational Intelligence
    Number of pages25
    Publication statusPublished - 2008

    Publication series

    NameStudies in Computational Intelligence
    ISSN (Print)1860949X

    ASJC Scopus subject areas

    • Artificial Intelligence


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