Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/5860
Título: Negotiation mechanism for self-organized scheduling system with collective intelligence
Autor: Madureira, Ana
Pereira, Ivo
Pereira, Pedro
Abraham, Ajith
Palavras-chave: Negotiation in MAS
Self-organization
Swarm intelligence
Dynamic scheduling
Agile manufacturing
Data: Mai-2014
Editora: Elsevier
Relatório da Série N.º: Neurocomputing;Vol. 132
Resumo: Current Manufacturing Systems challenges due to international economic crisis, market globalization and e-business trends, incites the development of intelligent systems to support decision making, which allows managers to concentrate on high-level tasks management while improving decision response and effectiveness towards manufacturing agility. This paper presents a novel negotiation mechanism for dynamic scheduling based on social and collective intelligence. Under the proposed negotiation mechanism, agents must interact and collaborate in order to improve the global schedule. Swarm Intelligence (SI) is considered a general aggregation term for several computational techniques, which use ideas and inspiration from the social behaviors of insects and other biological systems. This work is primarily concerned with negotiation, where multiple self-interested agents can reach agreement over the exchange of operations on competitive resources. Experimental analysis was performed in order to validate the influence of negotiation mechanism in the system performance and the SI technique. Empirical results and statistical evidence illustrate that the negotiation mechanism influence significantly the overall system performance and the effectiveness of Artificial Bee Colony for makespan minimization and on the machine occupation maximization.
Peer review: yes
URI: http://hdl.handle.net/10400.22/5860
DOI: 10.1016/j.neucom.2013.10.032
ISSN: 0925-2312
Versão do Editor: http://www.sciencedirect.com/science/article/pii/S0925231213010928
Aparece nas colecções:ISEP – GECAD – Artigos

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