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Extending scheduling algorithms to minimise the impact of bounded uncertainty using interval programming

Hossny, Ahmad 2014, Extending scheduling algorithms to minimise the impact of bounded uncertainty using interval programming, PhD thesis, Centre for Intelligent Systems Research, Deakin University.

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Title Extending scheduling algorithms to minimise the impact of bounded uncertainty using interval programming
Author Hossny, Ahmad
Institution Deakin University
School Centre for Intelligent Systems Research
Faculty Institute for Technology, Research & Innovation
Degree type Research doctorate
Degree name PhD
Thesis advisor Creighton, DouglasORCID iD for Creighton, Douglas orcid.org/0000-0002-9217-1231
Nahavandi, SaeidORCID iD for Nahavandi, Saeid orcid.org/0000-0002-0360-5270
Johnstone, MichaelORCID iD for Johnstone, Michael orcid.org/0000-0002-3005-8911
Date submitted 2014-05
Keyword(s) scheduling algorithms
constraint programming
Summary  This research proposed a new methodology to extend algorithms to accept interval-based uncertain parameters. The methodology is applied on scheduling algorithms, including heuristic and meta-heuristic algorithms and produced optimal results with higher accuracy. The research outcomes are effective for decision making process using uncertain or predicted data.
Language eng
Field of Research 080110 Simulation and Modelling
010406 Stochastic Analysis and Modelling
Socio Economic Objective 970109 Expanding Knowledge in Engineering
Description of original xvi, 183 pages :illustrations, some coloured
Dewey Decimal Classification 005.11
Copyright notice ┬ęThe author
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30072808

Document type: Thesis
Collections: Higher degree theses (full text)
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.