Intelligent Bio-Inspired system for manufacturing scheduling under uncertainties
A novel approach to scheduling resolution by combining Autonomic Computing (AC), Multi-Agent Systems (MAS), Case-based Reasoning (CBR), and Bio-Inspired Optimization Techniques (BIT) will be described. AC has emerged as a paradigm aiming at incorporating applications with a management structure simi...
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| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2013
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| Texto completo: | http://hdl.handle.net/10400.22/1254 |
| País: | Portugal |
| Oai: | oai:recipp.ipp.pt:10400.22/1254 |