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Job Scheduling Using Neural Network in Environment Inspection
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Environment inspection is becoming more and more important now. Many qualified institutes provide professional inspecting services for general companies. One problem with environment inspection is that the number of equipment in the institute is limited compared to the number of projects. A hybrid scheduler designed for the problem of environment inspection job scheduling. It uses tabu search techniques and embeds neural network in the scheduler. After training the neural network, the hybrid scheduler uses trained network to narrow the search range of the tabu search which makes the scheduler faster. The comparison between tabu search scheduler and hybrid scheduler indicates that the latter runs much faster.

Place, publisher, year, edition, pages
2017. , p. 42
Series
IT ; 17083
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-337630OAI: oai:DiVA.org:uu-337630DiVA, id: diva2:1170405
Educational program
Master Programme in Computer Science
Supervisors
Examiners
Available from: 2018-01-16 Created: 2018-01-03 Last updated: 2018-01-16Bibliographically approved

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fulltext(432 kB)56 downloads
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