Collective intelligence on dynamic manufacturing scheduling optimization

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 differ...

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Bibliographic Details
Main Author: Madureira, Ana Maria (author)
Other Authors: Pereira, Ivo (author), Sousa, Nelson (author)
Format: conferenceObject
Language:eng
Published: 2013
Subjects:
Swarm intelligence
Scheduling optimization
Learning in multi-agent systems
Online Access:http://hdl.handle.net/10400.22/1539
Country:Portugal
Oai:oai:recipp.ipp.pt:10400.22/1539
Description
Summary: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.

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