DocumentCode :
3230837
Title :
Collective intelligence on dynamic manufacturing scheduling optimization
Author :
Madureira, Ana ; Pereira, Ivo ; Sousa, Nelson
Author_Institution :
GECAD - Knowledge Eng. & Decision Support Group, Polytech. of Porto, Porto, Portugal
fYear :
2010
fDate :
23-26 Sept. 2010
Firstpage :
1693
Lastpage :
1697
Abstract :
Swarm Intelligence (SI) is a growing research field of Artificial Intelligence (AI). SI is the general term for several computational techniques which use ideas and get inspiration from the social behaviours of insects and of other animals. This paper presents hybridization and combination of different AI approaches, like Bio-Inspired Techniques (BIT), Multi-Agent systems (MAS) and Machine Learning Techniques (ML T). The resulting system is applied to the problem of jobs scheduling to machines on dynamic manufacturing environments.
Keywords :
dynamic scheduling; job shop scheduling; learning (artificial intelligence); manufacturing systems; multi-agent systems; optimisation; artificial intelligence; bioinspired techniques; collective intelligence; dynamic manufacturing scheduling optimization; jobs scheduling; machine learning techniques; multiagent systems; swarm intelligence; Variable speed drives; Learning in Multi-Agent Systems; Scheduling Optimization; Swarm Intelligence;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-6437-1
Type :
conf
DOI :
10.1109/BICTA.2010.5645248
Filename :
5645248
Link To Document :
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