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Comparison of algorithms forautomated university scheduling
KTH, School of Computer Science and Communication (CSC).
KTH, School of Computer Science and Communication (CSC).
2014 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Schedule generation is a common real-world problem, that has been shown to behard to solve. In a scheduling algorithm, various constraints related to scheduling are the inputs and a schedule satisfying these constraints is the output. In this report, two algorithms for schedule generation are compared: Tabu Searchand a Genetic Algorithm. How well the algorithms perform for generating schedules from constraint input of dierent sizes is assessed, as well as how the performance of the algorithms is aected by varying parameters of the algorithm.The major conclusion drawn is that there is no major dierence between how well Tabu Search and the Genetic Algorithm scale when faced with a larger input size.

Place, publisher, year, edition, pages
2014.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-157701OAI: oai:DiVA.org:kth-157701DiVA: diva2:771160
Examiners
Available from: 2014-12-12 Created: 2014-12-12 Last updated: 2014-12-12Bibliographically approved

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fulltext(225 kB)313 downloads
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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf