2.50
Hdl Handle:
http://hdl.handle.net/10547/333415
Title:
Taxonomy of optimisation techniques and applications
Authors:
Maple, Carsten; Prakash, Edmond C.; Huang, Wei; Qureshi, Adnan N.
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.
Affiliation:
University of Bedfordshire
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
Issue Date:
Jun-2014
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
Appears in Collections:
Centre for Computer Graphics and Visualisation (CCGV)

Full metadata record

DC FieldValue Language
dc.contributor.authorMaple, Carstenen
dc.contributor.authorPrakash, Edmond C.en
dc.contributor.authorHuang, Weien
dc.contributor.authorQureshi, Adnan N.en
dc.date.accessioned2014-10-30T10:49:56Zen
dc.date.available2014-10-30T10:49:56Zen
dc.date.issued2014-06en
dc.identifier.citationMaple C., Prakash E., Huang W., Qureshi A. (2014) 'Taxonomy of optimisation techniques and applications' International Journal of Computer Applications in Technology 49 (3/4):251en
dc.identifier.issn0952-8091en
dc.identifier.issn1741-5047en
dc.identifier.doi10.1504/IJCAT.2014.062361en
dc.identifier.urihttp://hdl.handle.net/10547/333415en
dc.description.abstractThis 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.en
dc.language.isoenen
dc.publisherInderscience Publishersen
dc.relation.urlhttp://www.inderscience.com/link.php?id=62361en
dc.rightsArchived with thanks to International Journal of Computer Applications in Technologyen
dc.subjectoptimisationen
dc.subjectoptimisation techniquesen
dc.titleTaxonomy of optimisation techniques and applicationsen
dc.typeArticleen
dc.contributor.departmentUniversity of Bedfordshireen
dc.identifier.journalInternational Journal of Computer Applications in Technologyen
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