Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1555
Título: Case-based reasoning for meta-heuristics self-parameterization in a multi-agent scheduling system
Autor: Pereira, Ivo
Madureira, Ana Maria
Moura, Paulo Oliveira
Palavras-chave: Case-based reasoning
Learning
Metaheuristics
Multi-agent systems
Scheduling
Data: 2011
Resumo: A novel agent-based approach to Meta-Heuristics self-configuration is proposed in this work. Meta-heuristics are examples of algorithms where parameters need to be set up as efficient as possible in order to unsure its performance. This paper presents a learning module for self-parameterization of Meta-heuristics (MHs) in a Multi-Agent System (MAS) for resolution of scheduling problems. The learning is based on Case-based Reasoning (CBR) and two different integration approaches are proposed. A computational study is made for comparing the two CBR integration perspectives. In the end, some conclusions are reached and future work outlined.
URI: http://hdl.handle.net/10400.22/1555
Aparece nas colecções:ISEP – GECAD – Comunicações em eventos científicos

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