• Negotiation mechanism for self...

Result: Negotiation mechanism for self-organized scheduling system with collective intelligence

Title:
Negotiation mechanism for self-organized scheduling system with collective intelligence
Authors:
MADUREIRA, A, PEREIRA, I, PEREIRA, P, ABRAHAM, A
Source:
Neurocomputing (Amsterdam). 132:97-110
Publisher Information:
Amsterdam: Elsevier, 2014.
Publication Year:
2014
Physical Description:
print, 53 ref
Original Material:
INIST-CNRS
Subject Terms:
Cognition, Computer science, Informatique, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Organisation des mémoires. Traitement des données, Memory organisation. Data processing, Systèmes d'information. Bases de données, Information systems. Data bases, Intelligence artificielle, Artificial intelligence, Sciences biologiques et medicales, Biological and medical sciences, Sciences biologiques fondamentales et appliquees. Psychologie, Fundamental and applied biological sciences. Psychology, Psychologie. Psychophysiologie, Psychology. Psychophysiology, Psychologie sociale, Social psychology, Interactions sociales. Communication. Processus de groupe, Social interactions. Communication. Group processes, Psychologie. Psychanalyse. Psychiatrie, Psychology. Psychoanalysis. Psychiatry, Agrégation, Aggregation, Agregación, Analyse statistique, Statistical analysis, Análisis estadístico, Autoorganisation, Self organization, Autoorganización, Commerce électronique, Electronic trade, Comercio electronico, Comportement social, Social behavior, Conducta social, Insecte social, Social insect, Insecto social, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Intelligence en essaim, Swarm intelligence, Inteligencia de enjambre, Interaction sociale, Social interaction, Interacción social, Manoeuvrabilité, Maneuverability, Maniobrabilidad, Marché international, International market, Mercado internacional, Marché économique, Economic market, Mercado económico, Maximisation, Maximization, Maximización, Minimisation, Minimization, Minimización, Mondialisation, Globalization, Globalización, Négociation, Bargaining, Negociación, Optimisation PSO, Particle swarm optimization, Optimización PSO, Ordonnancement, Scheduling, Reglamento, Programmation dynamique, Dynamic programming, Programación dinámica, Système aide décision, Decision support system, Sistema ayuda decisíon, Système intelligent, Intelligent system, Sistema inteligente, Système multiagent, Multiagent system, Sistema multiagente, Système production, Production system, Sistema producción, Agile manufacturing, Dynamic scheduling, Negotiation in MAS, Self-organization
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
GECAD - Knowledge Engineering and Decision Support Research Center, School of Engineering, Polytechnic of Porto (ISEP/IPP), Portugal
Machine Intelligence Research Labs (MIR Labs), United States
ISSN:
0925-2312
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=28282817
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

Psychology. Ethology

FRANCIS
Accession Number:
edscal.28282817
Database:
PASCAL Archive

Further Information

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.