Leximin Asymmetric Multiple Objective DCOP on Factor Graph

被引:3
作者
Matsui, Toshihiro [1 ]
Silaghi, Marius [2 ]
Okimoto, Tenda [3 ]
Hirayama, Katsutoshi [3 ]
Yokoo, Makoto [4 ]
Matsuo, Hiroshi [1 ]
机构
[1] Nagoya Inst Technol, Nagoya, Aichi 4668555, Japan
[2] Florida Inst Technol, Melbourne, FL 32901 USA
[3] Kobe Univ, Kobe, Hyogo 6580022, Japan
[4] Kyushu Univ, Fukuoka 8190395, Japan
来源
PRIMA 2015: PRINCIPLES AND PRACTICE OF MULTI-AGENT SYSTEMS | 2015年 / 9387卷
关键词
Distributed constraint optimization; Asymmetric; Multiple objectives; Leximin; Egalitarian; DISTRIBUTED CONSTRAINT OPTIMIZATION;
D O I
10.1007/978-3-319-25524-8_9
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Leximin AMODCOP has been proposed as a class of Multiple Objective Distributed Constraint Optimization Problems, where multiple objectives for individual agents are optimized based on the leximin operator. This problem also relates to Asymmetric DCOPs with the criteria of fairness among agents, which is an important requirement in practical resource allocation tasks. 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 inexact algorithms.
引用
收藏
页码:134 / 151
页数:18
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