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Issue title: Principles and Practice of Multi-Agent Systems
Guest editors: Qingliang Chen, Paolo Torroni and Serena Villata
Article type: Research Article
Authors: Matsui, Toshihiroa; * | Silaghi, Mariusb | Okimoto, Tendac | Hirayama, Katsutoshid | Yokoo, Makotoe | Matsuo, Hiroshif
Affiliations: [a] Nagoya Institute of Technology, Gokiso-cho Showa-ku Nagoya 466-8555, Japan. matsui.t@nitech.ac.jp | [b] Florida Institute of Technology, Melbourne FL 32901, United States of America. msilaghi@fit.edu | [c] Kobe University, 5-1-1 Fukaeminami-machi Higashinada-ku Kobe, 658-0022, Japan. tenda@maritime.kobe-u.ac.jp | [d] Kobe University, 5-1-1 Fukaeminami-machi Higashinada-ku Kobe, 658-0022, Japan. hirayama@maritime.kobe-u.ac.jp | [e] Kyushu University, 744 Motooka Nishi-ku Fukuoka 819-0395, Japan. yokoo@is.kyushu-u.ac.jp | [f] Nagoya Institute of Technology, Gokiso-cho Showa-ku Nagoya 466-8555, Japan. matsuo@nitech.ac.jp
Correspondence: [*] Address for correspondence: Nagoya Institute of Technology, Gokiso-cho Showa-ku Nagoya 466-8555, Japan
Abstract: Distributed Constraint Optimization Problem (DCOP) has been studied as a fundamental component of multiagent systems. With DCOPs, various applications on multiagent systems are formalized as constraint optimization problems where variables and functions are distributed among agents. Leximin AMODCOP has been proposed as a class of Multiple Objective DCOPs, where multiple objectives for individual agents are optimized based on the leximin operator. This problem also relates to Asymmetric DCOPs based on its the criteria of fairness among agents. Previous studies explore only Leximin AMODCOPs on constraint graphs limited to functions with unary or binary scopes. We address the Leximin AMODCOPs on factor graphs that directly represent n-ary functions. A dynamic programming method on factor graphs is investigated as an exact solution method. In addition, for relatively dense problems, we also investigate several approximate/inexact algorithms.
Keywords: distributed constraint optimization, asymmetric, multiple objectives, leximin, egalitarian
DOI: 10.3233/FI-2018-1642
Journal: Fundamenta Informaticae, vol. 158, no. 1-3, pp. 63-91, 2018
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