Presentation 1995/5/25
University Teaching Schedule Edition Assistant System using CESP
Takehiro Takahashi, Hiroyuki Kuroyama, Yoji Suzuki, Ken-ichi Noda,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Novel algorithms of solving a scheduling problem applied to university teaching schedule edition is proposed. Such problems as this have complicated conditions such as lecturers' convenience, students' schedule preference, classrooms' conditions etc. Each lecture is distributed on adequate cell of schedule table using unification and backtrack functions. To avoid too many physically possible solutions produced, the bind hook function of logical language CESP is utilized to restrict non-practical solutions. If solution number is too many for all these restrictions, highly evaluated solutions are preferentially produced, and the output number is previously restricted to a settled value. On the contrary, if schedule duplication is unavoidable, the program proposes alternative week day or/and period to the related leturers.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) CESP / bind hook / scheduling / teaching schedule
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Conference Information
Committee AI
Conference Date 1995/5/25(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) University Teaching Schedule Edition Assistant System using CESP
Sub Title (in English)
Keyword(1) CESP
Keyword(2) bind hook
Keyword(3) scheduling
Keyword(4) teaching schedule
1st Author's Name Takehiro Takahashi
1st Author's Affiliation Computer Science Dept. Faculty of Engineering Takushoku University()
2nd Author's Name Hiroyuki Kuroyama
2nd Author's Affiliation Computer Science Dept. Faculty of Engineering Takushoku University
3rd Author's Name Yoji Suzuki
3rd Author's Affiliation Iwatsu Electric Co., Ltd.
4th Author's Name Ken-ichi Noda
4th Author's Affiliation Computer Science Dept. Faculty of Engineering Takushoku University
Date 1995/5/25
Paper #
Volume (vol) vol.95
Number (no) 75
Page pp.pp.-
#Pages 8
Date of Issue