Presentation 2005/3/7
Proposal of partially exhaustive evaluation Monte Carlo Method and application to the planning containing the uncertainty
Masaki ONODERA, Hidenori KAWAMURA, Azuma OHUCHI,
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Abstract(in English) In this paper, we propose the partially exhaustive evaluation Monte Carlo Method, which improves the accuracy of estimation of expected value, and evaluate the effectiveness of the proposed method. Moreover, we apply the proposed method to the Tour Planning Problem, which includes the uncertainty that a result to a single solution cannot be determined uniquely. From experimental results, it has been confirmed that the accuracy of estimation is improved by the proposed method, and as a result, the effectiveness of searching is improved.
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Keyword(in English) partially exhaustive evaluation Monte Carlo Method / Tour Planning Problem / uncertainty / planning
Paper # AI2004-71
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Committee AI
Conference Date 2005/3/7(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) Proposal of partially exhaustive evaluation Monte Carlo Method and application to the planning containing the uncertainty
Sub Title (in English)
Keyword(1) partially exhaustive evaluation Monte Carlo Method
Keyword(2) Tour Planning Problem
Keyword(3) uncertainty
Keyword(4) planning
1st Author's Name Masaki ONODERA
1st Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Hidenori KAWAMURA
2nd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
3rd Author's Name Azuma OHUCHI
3rd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
Date 2005/3/7
Paper # AI2004-71
Volume (vol) vol.104
Number (no) 726
Page pp.pp.-
#Pages 6
Date of Issue