Model and algorithm for dynamic multi-objective distributed optimization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8291 LNAI, Issue , 2013, Pages 413-420

  Clement, Maxime ^a   Okimoto, Tenda ^c,d   Ribeiro, Tony ^b   Inoue, Katsumi ^d  

^a SORBONNE UNIVERSITÉ   (France)

^b GRADUATE UNIVERSITY FOR ADVANCED STUDIES   (Japan)

^c Transdisciplinary Research Integration Center   (Japan)

^d NATIONAL INSTITUTE OF INFORMATICS   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPLEX PROBLEMS; DISTRIBUTED CONSTRAINT OPTIMIZATIONS; DISTRIBUTED OPTIMIZATION; DYNAMIC PROBLEM; MODEL AND ALGORITHMS; MULTI OBJECTIVE;

ALGORITHMS; DATA PRIVACY; MULTI AGENT SYSTEMS; NETWORK SECURITY;

MULTIOBJECTIVE OPTIMIZATION;

EID: 84893131832     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-44927-7_29     Document Type: Conference Paper

References (12)

1. Billiau, G., Chang, C.F., Ghose, A.: SBDO: A new robust approach to dynamic distributed constraint optimisation. In: Desai, N., Liu, A., Winikoff, M. (eds.) PRIMA 2010. LNCS, vol. 7057, pp. 11-26. Springer, Heidelberg (2012)
2. Fave, F.M.D., Stranders, R., Rogers, A., Jennings, N.R.: Bounded decentralised coordination over multiple objectives. In: Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems, pp. 371-378 (2011)
3. Junges, R., Bazzan, A.L.C.: Evaluating the performance of DCOP algorithms in a real world, dynamic problem. In: Proceedings of the 7th International Conference on Autonomous Agents and Multiagent Systems, pp. 599-606 (2008)
4. Lesser, V., Ortiz, C., Tambe, M. (eds.): Distributed Sensor Networks: A Multiagent Perspective, vol. 9. Kluwer Academic Publishers (2003)
5. Maheswaran, R.T., Tambe, M., Bowring, E., Pearce, J.P., Varakantham, P.: Taking DCOP to the real world: Efficient complete solutions for distributed multievent scheduling. In: Proceedings of the 3rd International Conference on Autonomous Agents and Multiagent Systems, pp. 310-317 (2004)
6. Mailler, R., Lesser, V.R.: Solving distributed constraint optimization problems using cooperative mediation. In: Proceedings of the 3rd International Conference on Autonomous Agents and Multiagent Systems, pp. 438-445 (2004)
7. Matsui, T., Silaghi, M., Hirayama, K., Yokoo, M., Matsuo, H.: Distributed search method with bounded cost vectors on multiple objective dcops. In: Proceedings of the 15th International Conference on Principles and Practice of Multi-Agent Systems, pp. 137-152 (2012)
8. Modi, P., Shen, W., Tambe, M., Yokoo, M.: Adopt: asynchronous distributed constraint optimization with quality guarantees. Artificial Intelligence 161(1-2), 149-180 (2005)
9. Petcu, A., Faltings, B.: A scalable method for multiagent constraint optimization, pp. 266-271 (2005)
10. Schiex, T., Fargier, H., Verfaillie, G.: Valued constraint satisfaction problems: Hard and easy problems. In: Proceedings of the 14th International Joint Conference on sArtificial Intelligence, pp. 631-639 (1995)
11. Yeoh, W., Felner, A., Koenig, S.: BnB-ADOPT: An asynchronous branch-and-bound DCOP algorithm. Journal of Artificial Intelligence Research 38, 85-133 (2010)
12. Yeoh, W., Varakantham, P., Sun, X., Koenig, S.: Incremental dcop search algorithms for solving dynamic dcops. In: AAMAS, pp. 1069-1070 (2011)