Self-optimization for dynamic scheduling in manufacturing systems

Madureira, Ana Maria; Pereira, Ivo

http://hdl.handle.net/10400.22/1270

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Autores

Madureira, Ana Maria

Pereira, Ivo

Resumo(s)

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).

Palavras-chave

Self-optimization Multi-agent learning Autonomic computing Multi-agent systems Nature inspired optimization techniques

URI

http://hdl.handle.net/10400.22/1270

Editora

Springer Netherlands

DOI

10.1007/978-90-481-9151-2_74

Coleções

ISEP – GECAD – Livro, parte de livro, ou capítulo de livro

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