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Title:SESTAVLJANJE URNIKA S POMOČJO ROJNE INTELIGENCE NA MOBILNI PLATFORMI ANDROID
Authors:Merc, Leon (Author)
Fister, Iztok (Mentor) More about this mentor... New window
Files:.pdf UNI_Merc_Leon_2013.pdf (1,92 MB)
 
Language:Slovenian
Work type:Bachelor thesis/paper (mb11)
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomski nalogi se ukvarjamo s problemom avtomatizirane generacije urnika za poljubno šolsko ustanovo. Kot ciljni operacijski sistem smo uporabili mobilno platformo Android. Za optimizacijo samega urnika smo uporabili pristop rojne inteligence, natančneje algoritma PSO (angl. Particle swarm optimization), katerega smo tudi podrobno opisali. Ugotovili smo, da je optimizacija z zadovoljivimi rezultati na mobilnem telefonu možna, ter predstavili pridobljene rezultate pri različnih konstantah.
Keywords:Android, rojna inteligenca, optimizacija z roji delcev
Year of publishing:2013
Publisher:[L. Merc]
Source:Maribor
UDC:004.89:621.395.72(043.2)
COBISS_ID:17485846 Link is opened in a new window
NUK URN:URN:SI:UM:DK:UBG6DNLM
Views:1144
Downloads:106
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:TIMETABELING USING SWARM INTELLIGENCE ON MOBILE PLATFORM ANDROID
Abstract:In the thesis, we have dealt with the problem of automatic timetable generation for a chosen academic institution. As the target operating system, an Android mobile platform was used. The swarm intelligence approach, specifically the PSO (Particle swarm Optimization) algorithm was applied for scheduling the optimization itself. This algorithm is also described in detail. The conclusion of this thesis is that the automatic generation of timetable on mobile devices is possible and the obtained results are appropriate to use in a real-world.
Keywords:Android, swarm intelligence, Particle Swarm Optimization


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