Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/4291
Título: Meta-heuristics self-parameterization in a multi-agent scheduling system using case-based reasoning
Autor: Pereira, Ivo
Madureira, Ana Maria
Moura, Paulo Oliveira
Palavras-chave: Computational intelligence
Artificial intelligence
Information systems applications
Data: 2013
Editora: Springer
Relatório da Série N.º: Intelligent Systems, Control and Automation: Science and Engineering; Vol. 61
Resumo: This paper proposes a novel agent-based approach to Meta-Heuristics self-configuration. Meta-heuristics are algorithms with parameters which need to be set up as efficient as possible in order to unsure its performance. A learning module for self-parameterization of Meta-heuristics (MH) in a Multi-Agent System (MAS) for resolution of scheduling problems is proposed in this work. The learning module 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. Finally, some conclusions are reached and future work outlined.
Peer review: yes
URI: http://hdl.handle.net/10400.22/4291
ISBN: 978-94-007-4721-0
978-94-007-4722-7
ISSN: 2213-8986
Versão do Editor: http://link.springer.com/chapter/10.1007/978-94-007-4722-7_10
Aparece nas colecções:ISEP – GECAD – Livro, parte de livro, ou capítulo de livro

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