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    Taxonomy of optimisation techniques and applications

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    Authors
    Maple, Carsten
    Prakash, Edmond C.
    Huang, Wei
    Qureshi, Adnan Nabeel Abid
    Affiliation
    University of Bedfordshire
    Issue Date
    2014-06
    Subjects
    optimisation
    optimisation techniques
    
    Metadata
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    Abstract
    This paper presents a review of recent advances in optimisation techniques. Optimisation is a complex task and it is nearly impossible to identify a single technique which can act as a silver bullet in all contexts where scarcity and limitation of resources and constraints exist. The list of individual optimisation methods, their combinations and hybridisations is endless and, hence, it is imperative to classify them based on common attributes and highlight some of the salient industrial and research domains where they have been implemented. This paper concentrates on application areas of the different optimisation techniques in particular, with the objective to establish a practical taxonomy based on the combination of heuristic or non-heuristic nature of algorithms, nature of design variables and nature of equations. A précis of research at the University of Bedfordshire is also given to highlight the contributions made towards optimising different industrial and engineering problems exemplifying the latest trends and research arenas.
    Citation
    Maple C., Prakash E., Huang W., Qureshi A. (2014) 'Taxonomy of optimisation techniques and applications' International Journal of Computer Applications in Technology 49 (3/4):251
    Publisher
    Inderscience Publishers
    Journal
    International Journal of Computer Applications in Technology
    URI
    http://hdl.handle.net/10547/333415
    DOI
    10.1504/IJCAT.2014.062361
    Additional Links
    http://www.inderscience.com/link.php?id=62361
    Type
    Article
    Language
    en
    ISSN
    0952-8091
    1741-5047
    ae974a485f413a2113503eed53cd6c53
    10.1504/IJCAT.2014.062361
    Scopus Count
    Collections
    Centre for Computer Graphics and Visualisation (CCGV)

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