Presentation 2010-11-19
Interactive genetic algorithm to estimate weight parameters of evaluate function
Eitaro ISHIKAWA, Takashi ISHIDA, Masayuki GOTO,
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Abstract(in English) In general, optimization method by using interactive evolutionary computation (IEC) is a well known technique to solve problems whose evaluate functions are unknown. Many studies have been conducted on IEC, and almost all of them have been applied to a class of problems whose evaluate functions cannot be formulated. This approach, however, may be effective for problems whose evaluate functions are formulated, but their variable weight parameters depend on each user. This paper proposes an iteractive genetic algorithms for the problems whose evaluate functions are represented by sum of linear functions and their variable weight parameters are depend on user's choice. Some experiments applied to travel scheduling problem etc. are shown and it is clarified that this interactive genetic algorithms is an effective way to get a user-oriented solution.
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Keyword(in English) Interactive genetic algorithm / Estimating parameter / Least squares method / Ridge regression
Paper # AI2010-37
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Committee AI
Conference Date 2010/11/12(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) Interactive genetic algorithm to estimate weight parameters of evaluate function
Sub Title (in English)
Keyword(1) Interactive genetic algorithm
Keyword(2) Estimating parameter
Keyword(3) Least squares method
Keyword(4) Ridge regression
1st Author's Name Eitaro ISHIKAWA
1st Author's Affiliation Major in Industrial and Management Systems Engineering, Graduate School of Creative Science and Engineering, Waseda University()
2nd Author's Name Takashi ISHIDA
2nd Author's Affiliation Media Network Center, Waseda University
3rd Author's Name Masayuki GOTO
3rd Author's Affiliation Department of Industrial and Management Systems Engineering, School of Creative Science and Engineering, Waseda University
Date 2010-11-19
Paper # AI2010-37
Volume (vol) vol.110
Number (no) 301
Page pp.pp.-
#Pages 6
Date of Issue