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Meta-heuristics tunning using CBR for dynamic scheduling
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Orientador(es)
Resumo(s)
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.
Descrição
Palavras-chave
Self-tuning Case-based reasoning Metaheuristics Multi-agent system Scheduling