Meta-heuristics self-configuration for scheduling

Madureira, Ana Maria; Fonseca, Nuno; Pereira, Ivo

http://hdl.handle.net/10400.22/1266

Utilize este identificador para referenciar este registo.

Nome:	Descrição:	Tamanho:	Formato:
CAPL_AnaMadureira_2010_GECAD.pdf		126.01 KB	Adobe PDF	Ver/Abrir

Contacte-nos

Autores

Madureira, Ana Maria

Fonseca, Nuno

Pereira, Ivo

Resumo(s)

Scheduling resolution requires the intervention of highly skilled human problemsolvers. This is a very hard and challenging domain because current systems are becoming more and more complex, distributed, interconnected and subject to rapidly changing. A natural Autonomic Computing evolution in relation to Current Computing is to provide systems with Self-Managing ability with a minimum human interference. This paper addresses the resolution of complex scheduling problems using cooperative negotiation. A Multi-Agent Autonomic and Meta-heuristics based framework with self-configuring capabilities is proposed.

Palavras-chave

Intelligent decision support system Distributed agent system Meta-heuristics Computational intelligence Dynamic scheduling

URI

http://hdl.handle.net/10400.22/1266

Editora

Instituto Politécnico do Porto. Instituto Superior de Engenharia do Porto

DOI

10.1007/978-94-007-4722-7_10

Coleções

ISEP – GECAD – Livro, parte de livro, ou capítulo de livro
ISEP – GECAD – Comunicações em eventos científicos

Métricas Alternativas

Ver registo completo