Presentation 2010-09-28
Issue Clustering and Distributed Genetic Algorithms for Searching Agreement Point
Nobuyasu MIZUTANI, Katsuhide FUJITA, Takayuki ITO,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Most real-world negotiation involves multiple interdependent issues, which makes an agent's utility functions nonlinear. One of the main challenges in developing effective nonlinear negotiation protocols is improving scalability. In this paper, we propose a new method for decomposing a utility space based on interdependency of issues and employing the distributed genetic algorithms in each issue-group. In our method, original cross-over and migration are employed. In addition, the experimental results demonstrate that our method can find higher quality solutions and reduce the computational time than existing works.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Multi agent system / Multi-issue negotiation / Distributed genetic algorithms / Nonlinear utility function
Paper # AI2010-28
Date of Issue

Conference Information
Committee AI
Conference Date 2010/9/21(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
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) Issue Clustering and Distributed Genetic Algorithms for Searching Agreement Point
Sub Title (in English)
Keyword(1) Multi agent system
Keyword(2) Multi-issue negotiation
Keyword(3) Distributed genetic algorithms
Keyword(4) Nonlinear utility function
1st Author's Name Nobuyasu MIZUTANI
1st Author's Affiliation Computer Science and Engineering, School of Techno-Business Administration, Nagoya Institute of Technology()
2nd Author's Name Katsuhide FUJITA
2nd Author's Affiliation Computer Science and Engineering, School of Techno-Business Administration, Nagoya Institute of Technology:Sloan School of Management, Massachusetts Institute of Technology
3rd Author's Name Takayuki ITO
3rd Author's Affiliation Computer Science and Engineering, School of Techno-Business Administration, Nagoya Institute of Technology:Todai Policy Alternatives Research Institute:JST PREST Department of Research Promotion, Research Division
Date 2010-09-28
Paper # AI2010-28
Volume (vol) vol.110
Number (no) 212
Page pp.pp.-
#Pages 6
Date of Issue