Presentation 1999/11/18
Genetic algorithms for the school timetabling problem
Daisuke Ouchi, Hiroaki Ueda, Kenichi Takahashi, Tetuhiro Miyahara,
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Abstract(in English) In this paper, we apply genetic algorithms (GA) to the timetabling problem for universities. There exist many constraints in the timetabling problem for universities regarding the size and the kind of rooms for classes. It is difficult to obtain an acceptable solutionby the simple genetic algorithm (SGA) which performs timetabling of classes and allocation of rooms to classes at the same time. In this paper, we present a method which employs GA in two phases. In the first phase, the method performs gene manipulations for timetabling and room allocation seperately. In the second phase, combinations of genes for timetabling and room allocation are evaluated. These two phases are iterated until we get satisfiable solution. Through computer simulations, we compare the performance of SGA with that of our method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Timetable Problem / Genetic Algorithms / SGA
Paper # AI99-53
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Committee AI
Conference Date 1999/11/18(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Genetic algorithms for the school timetabling problem
Sub Title (in English)
Keyword(1) Timetable Problem
Keyword(2) Genetic Algorithms
Keyword(3) SGA
1st Author's Name Daisuke Ouchi
1st Author's Affiliation Hiroshima,City University Graduate School()
2nd Author's Name Hiroaki Ueda
2nd Author's Affiliation Hiroshima,City University Graduate School
3rd Author's Name Kenichi Takahashi
3rd Author's Affiliation Hiroshima,City University Graduate School
4th Author's Name Tetuhiro Miyahara
4th Author's Affiliation Hiroshima,City University Graduate School
Date 1999/11/18
Paper # AI99-53
Volume (vol) vol.99
Number (no) 446
Page pp.pp.-
#Pages 8
Date of Issue