Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1489
Título: Meta-heuristics tunning using CBR for dynamic scheduling
Autor: Pereira, Ivo
Madureira, Ana Maria
Palavras-chave: Self-tuning
Case-based reasoning
Metaheuristics
Multi-agent system
Scheduling
Data: 2010
Editora: IEEE
Resumo: This paper addresses the problem of Biological Inspired Optimization Techniques (BIT) parameterization, considering the importance of this issue in the design of BIT especially when considering real world situations, subject to external perturbations. A learning module with the objective to permit a Multi-Agent Scheduling System to automatically select a Meta-heuristic and its parameterization to use in the optimization process is proposed. For the learning process, Casebased Reasoning was used, allowing the system to learn from experience, in the resolution of similar problems. Analyzing the obtained results we conclude about the advantages of its use.
URI: http://hdl.handle.net/10400.22/1489
ISBN: 978-1-4244-9023-3
Versão do Editor: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5898093
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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