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Learning Bayesian Network to Predict Group Emotion in Kindergarten by Evolutionary Computation Read chapter Read first chapter

2018 | OriginalPaper | Chapter

MAC Approach Concept for Virtual Manufacturing Networks Generating

Authors : Aleksander Gwiazda, Magłorzata Olender, Agnieszka Sękala, Damian Kręczyk

Published in: International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding

Publisher: Springer International Publishing

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Abstract

This paper presents the analysis of an approach to the problem Virtual Manufacturing (VM) networks coordinating utilizing some concepts from the area of artificial intelligence. VM network consists of group of manufacturers and their resources that are flexible utilized to fulfill the common manufacturing task. In the proposed paper it is analyzed the problem of coordinating such VM network using the multi-agent system (MAS) concept and the multiple ant colony (MAC) approach. In the presented concept the agents are defined as virtual ants in the MAC approach. Results obtained during simulation tests let to determine main advantages of this approach.

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previous chapter An Activity-Oriented Petri Net Simulation Approach for Optimization of Dispatching Rules for Job Shop Transient Scheduling
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Metadata
Title
MAC Approach Concept for Virtual Manufacturing Networks Generating
Authors
Aleksander Gwiazda
Magłorzata Olender
Agnieszka Sękala
Damian Kręczyk
Copyright Year
2018
Book
International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding

Print ISBN: 978-3-319-67179-6

Electronic ISBN: 978-3-319-67180-2

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-67180-2_30

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