Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/1270
Título: Self-optimization for dynamic scheduling in manufacturing systems
Autor: Madureira, Ana Maria
Pereira, Ivo
Palavras-chave: Self-optimization
Multi-agent learning
Autonomic computing
Multi-agent systems
Nature inspired optimization techniques
Data: 2010
Editora: Springer Netherlands
Relatório da Série N.º: Technological Developments in Networking, Education and Automation;
Resumo: Scheduling is a critical function that is present throughout many industries and applications. A great need exists for developing scheduling approaches that can be applied to a number of different scheduling problems with significant impact on performance of business organizations. A challenge is emerging in the design of scheduling support systems for manufacturing environments where dynamic adaptation and optimization become increasingly important. In this paper, we describe a Self-Optimizing Mechanism for Scheduling System through Nature Inspired Optimization Techniques (NIT).
URI: http://hdl.handle.net/10400.22/1270
ISBN: 978-90-481-9150-5
978-90-481-9151-2
Versão do Editor: http://link.springer.com/chapter/10.1007/978-90-481-9151-2_74
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