Presentation 1996/10/1
Solving Constraint Satisfaction Problems based on Equivalent Transformation
Keiko Suita, Kiyoshi Akama, Eiichi Miyamoto,
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Abstract(in English) In many conventional programming languages, programs are constructed from built-in data structures or built-in constraints. Due to the limitation of the expressive power, the computation may become very inefficeint when they are used to solve large and complicated problems. In order to overcome the difficulty, we adopt a new programming paradigm, called "equivalent transformation programming (ET-programming)", where programs consist of many equivalent transformation rules and control declarations, and problems are solved by reducing problems by equivalent transformation of problem descriptions. In this paper, we show that ET-programming is useful to surpress the combinatorial explosion when solving large constraint satisfaction problems.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) constraint satisfaction / equivalent transformation / transformation rule / combinatorial explosion
Paper # SS96-18
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Conference Date 1996/10/1(1days)
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Registration To Software Science (SS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Solving Constraint Satisfaction Problems based on Equivalent Transformation
Sub Title (in English)
Keyword(1) constraint satisfaction
Keyword(2) equivalent transformation
Keyword(3) transformation rule
Keyword(4) combinatorial explosion
1st Author's Name Keiko Suita
1st Author's Affiliation Division of System and Information Engineering, Hokkaido University()
2nd Author's Name Kiyoshi Akama
2nd Author's Affiliation Division of System and Information Engineering, Hokkaido University
3rd Author's Name Eiichi Miyamoto
3rd Author's Affiliation Division of System and Information Engineering, Hokkaido University
Date 1996/10/1
Paper # SS96-18
Volume (vol) vol.96
Number (no) 283
Page pp.pp.-
#Pages 8
Date of Issue