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    Efficient path finding for 2D games

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    Authors
    Kumar, Pawan
    Bottaci, Len
    Mehdi, Qasim
    Gough, Norman
    Natkin, Stephane
    Issue Date
    2004
    
    Metadata
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    Other Titles
    Proceedings of CGAIDE’2004
    Abstract
    In this paper we investigate different methods and algorithms from artificial intelligence that can be used for achieving efficient path finding within games and virtual environments. Path finding is a computationally expensive problem that is solved by searching. We investigate different optimization techniques and further develop techniques which can be incorporated within the existing algorithms to make path finding for 2D static environments faster, computationally less expensive and requiring minimum use of resources.
    Citation
    In: Mehdi, Q. and Gough, N. (Eds.), Proceedings of CGAIDE’2004. 5th Game-On International Conference on Computer Games: Artificial Intelligence, Design and Education, 8-10 November, 2004, Microsoft Academic Campus, Reading UK
    Publisher
    University of Wolverhampton, School of Computing and Information Technology
    URI
    http://hdl.handle.net/2436/31520
    Type
    Conference contribution
    Language
    en
    ISBN
    0-9549016-0-6
    Collections
    Faculty of Science and Engineering

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