Distributed Pareto Local Search for Multi-Objective DCOPs-Reference-Cited by-同舟云学术

Distributed Pareto Local Search for Multi-Objective DCOPs

Published:2017 Issue:12 Volume:E100.D Page:2897-2905
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

CLEMENT Maxime¹²,OKIMOTO Tenda³,INOUE Katsumi¹²

Affiliation:

1. The Graduate University for Advanced Studies

2. National Institute of Informatics

3. Kobe University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E100.D/12/E100.D_2016AGP0006/_pdf

Reference24 articles.

1. [1] P.J. Modi, W.-M. Shen, M. Tambe, and M. Yokoo, “ADOPT: Asynchronous distributed constraint optimization with quality guarantees,” Artif. Intell., vol.161, no.1-2, pp.149-180, 2005. 10.1016/j.artint.2004.09.003

2. [2] A. Petcu and B. Faltings, “A scalable method for multiagent constraint optimization,” Proc. 19th International Joint Conference on Artificial Intelligence, pp.266-271, 2005.

3. [3] R. Maheswaran, M. Tambe, E. Bowring, J. Pearce, and P. Varakantham, “Taking DCOP to the real world: Efficient complete solutions for distributed multi-event scheduling,” Proc. 3rd International Conference on Autonomous Agents and Multiagent Systems, pp.310-317, 2004.

4. [4] V. Lesser, C. Ortiz, and M. Tambe, eds., Distributed Sensor Networks: A Multiagent Perspective, Kluwer Academic Publishers, 2003.

5. [5] R. Junges and A. Bazzan, “Evaluating the performance of DCOP algorithms in a real world, dynamic problem,” Proc. 7th International Conference on Autonomous Agents and Multiagent Systems, pp.599-606, 2008.