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
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