DocumentCode :
2763752
Title :
Combining adaptation and optimization in bio-inspired multi-agent manufacturing systems
Author :
Barbosa, José ; Leitão, Paulo ; Pereira, Ana I.
Author_Institution :
Polytech. Inst. of Braganca, Braganca, Portugal
fYear :
2011
fDate :
27-30 June 2011
Firstpage :
1773
Lastpage :
1778
Abstract :
Global markets impose strong requirements to manufacturing domain in terms of flexibility, robustness and reconfigurability. The multi-agent systems (MAS) paradigm is suitable to handle such requirements, introducing an alternative way to design complex, agile and adaptive systems. However, MAS based solutions may suffer of myopia due to the local optimal decision-making performed by the autonomous distributed agents having a partial knowledge of the problem. This paper depicts the optimization problem in MAS, particularly having in mind the achievement of adaptation, and explores the contributions that biology can offer to handle this issue. Two bio-inspired MAS solutions for routing pallets in a real assembly system are described to illustrate how optimization and adaptation can be combined.
Keywords :
agile manufacturing; decision making; flexible manufacturing systems; multi-agent systems; optimisation; adaptive manufacturing systems; agile manufacturing systems; assembly system; bioinspired multiagent manufacturing systems; decision making; optimization; pallet routing; Dynamic scheduling; Evolution (biology); Job shop scheduling; Manufacturing systems; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics (ISIE), 2011 IEEE International Symposium on
Conference_Location :
Gdansk
ISSN :
Pending
Print_ISBN :
978-1-4244-9310-4
Electronic_ISBN :
Pending
Type :
conf
DOI :
10.1109/ISIE.2011.5984425
Filename :
5984425
Link To Document :
بازگشت