Heuristic algorithm for a personalised student timetable
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F18%3A50014538" target="_blank" >RIV/62690094:18450/18:50014538 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-98446-9_8" target="_blank" >http://dx.doi.org/10.1007/978-3-319-98446-9_8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-98446-9_8" target="_blank" >10.1007/978-3-319-98446-9_8</a>
Alternative languages
Result language
angličtina
Original language name
Heuristic algorithm for a personalised student timetable
Original language description
This paper present the heuristic algorithm that facilitates very efficient creation of personalised timetables for university students. The goal of the algorithm is to find a timetable with the minimal number of event overlaps and at the same time optimizing the length of the stay of the student at university every week. This goal has been achieved by the modular design of the algorithm that gradually constructs the timetable together with pruning the space of remaining options. The results delivered by this algorithm were compared with the results obtained by exhaustive search and it was concluded that our algorithm is able to find the optimal or a very near optimal solution very quickly. Therefore, the algorithm described here can be utilized for the development of the mobile application.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture notes in computer science
ISBN
978-3-319-98445-2
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
10
Pages from-to
79-88
Publisher name
Springer
Place of publication
Berlin
Event location
Bristol
Event date
Sep 5, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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