Presentation 2013-07-04
A Study of Resource Constrainted Distributed Constraint Optimization Problems using Variable Discrete Values
Masayuki KANEKO, Toshihiro MATSUI, Hiroshi MATSUO,
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Abstract(in English) Distributed cooperative resource allocation on networks covers importantapplication domains including smart grid systems with distributed powersources.Those resource allocation problems have been formalized as DistributedConstraint Optimization Problems, where the amount of resource isrepresented using discrete variables.However, previous studies did not address how to determine the domain ofdiscrete variables considering different maximum amount of resources in each node.We extend previous methods so that nodes have variables of different domainsbased on appropriate sampling units. To absorb different units of resources,we introduce upper and lower bounds for each value of variables.
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Keyword(in English) distributed cooperative problem solving / multiagent / DCOP / resource allocation
Paper # AI2013-4
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Committee AI
Conference Date 2013/6/27(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A Study of Resource Constrainted Distributed Constraint Optimization Problems using Variable Discrete Values
Sub Title (in English)
Keyword(1) distributed cooperative problem solving
Keyword(2) multiagent
Keyword(3) DCOP
Keyword(4) resource allocation
1st Author's Name Masayuki KANEKO
1st Author's Affiliation Nagoya Institute of Technology()
2nd Author's Name Toshihiro MATSUI
2nd Author's Affiliation Nagoya Institute of Technology
3rd Author's Name Hiroshi MATSUO
3rd Author's Affiliation Nagoya Institute of Technology
Date 2013-07-04
Paper # AI2013-4
Volume (vol) vol.113
Number (no) 113
Page pp.pp.-
#Pages 6
Date of Issue