Collective intelligence on dynamic manufacturing scheduling optimization

Proceedings 2010 IEEE 5th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2010

Volumn , Issue , 2010, Pages 1693-1697

  Madureira, Ana ^a   Pereira, Ivo ^a   Sousa, Nelson ^a  

^a INSTITUTE OF ENGINEERING   (Portugal)

Author keywords

Learning in multi agent systems; Scheduling optimization; Swarm intelligence

Indexed keywords

BIO-INSPIRED TECHNIQUES; COLLECTIVE INTELLIGENCES; COMPUTATIONAL TECHNIQUE; JOBS SCHEDULING; MACHINE LEARNING TECHNIQUES; MANUFACTURING SCHEDULING; ON DYNAMICS; RESEARCH FIELDS; SCHEDULING OPTIMIZATION; SOCIAL BEHAVIOUR; SWARM INTELLIGENCE;

ANIMALS; CELLULAR AUTOMATA; COMPUTATION THEORY; MANUFACTURE; OPTIMIZATION; SCHEDULING;

MULTI AGENT SYSTEMS;

EID: 78650619328     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BICTA.2010.5645248     Document Type: Conference Paper

References (15)

1. M. Dorigo, Swarm Intelligence, Springer New York, 2007.
2. M. Dorigo, Optimization, Learning and Natural Algorithms, PhDThesis, Politecnico di Milano, Italy, (in Italian), 1992.
3. M. Dorigo, M. Birattari, and T. Stützle, Ant Colony Optimization -Artificial Ants as a Computational Intelligence Technique, IEEE Computational Intelligence Magazine, 2006.
4. J. Kennedy and R.C. Eberhart, Particle Swarm Optimization, in Proceedings of the IEEE International Conference Neural Networks, pp 1942-1948, 1995.
5. R.C. Eberhart and Y. Shi, Tracking and optimizing dynamic systems with particle swarms, Proc. Congress on Evolutionary Computation, Seoul, Korea, 2001.
6. R. Axelrod, The Evolution of Cooperation, Basic Books, New York 1984.
7. D. Ouelhadj, S. Petrovic, P.I. Cowling, and A. Meisels, Inter-agent cooperation and communication for agent-based robust dynamic scheduling in steel production, Adv. Eng. Inform, 18, 3 (Jul. 2004) 2004.
8. Z. Huang, P. Gao, Y. He, and Q. He, Multi-Agent Cooperation Based on Interest Group, International Conference on Computational Intelligence and Software Engineering (CiSE '09), 2009.
9. L.I. Qing-song, D.U. Li-ming, Model design of job shop scheduling based on multi-agent system, UTA International Conference on Services Science, Management and Engineering, pp. 233-236, 2009.
10. X. Hong and S. Jiancheng, Multi-Agent Based Scheduling for Batch Process, 8th International Conference on Electronic Measurement and Instruments (ICEMI '07), 2007.
11. A. Madureira, Meta-heuristics application to scheduling in dynamic environments of discrete manufacturing, Ph.D. dissertation, University of Minho, Braga, Portugal, 2003, (in Portuguese).
12. A. Madureira, J. Santos, N. Gomes, and C. Ramos, Proposal of a cooperation mechanism for team-work based multiagent system in dynamic scheduling through meta-heuristics, in Proceedings 2007 IEEE International Symposium on Assembly and Manufacturing (ISAM07), Ann Arbor, Michigan, USA, 2007, pp. 233-238.
13. H. Fisher and G.L. Thompson, Probabilistic learning combinations of local job-shop scheduling rules, Industrial Scheduling, Prentice Hall, Englewood Cliffs, New Jersey, 225-251, 1963.
14. S. Lawrence, Resource constrained project scheduling: an experimental investigation of heuristic scheduling techniques (Supplement), Graduate School of Industrial Administration, Carnegie-Mellon University, Pittsburgh, Pennsylvania, 1984.
15. J. Adams, E. Balas, and D. Zawack, The shifting bottleneck procedure for job shop scheduling, Management Science 34, 391-401, 1988.