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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 5/2014

01.04.2014 | Original Article

A new intelligent algorithm for dynamic facility layout problem in state of fuzzy constraints

verfasst von: Mojtaba Kaveh, Vahid Majazi Dalfard, Sajjad Amiri

Erschienen in: Neural Computing and Applications | Ausgabe 5/2014

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Abstract

In the present paper, the dynamic facilities layout problem is studied in presence of ambiguity of information flow. Product demand (and consequently material flow) is defined as fuzzy numbers with different membership functions. The problem is modeled in fuzzy programming. Three models of expected value, chance-constrained programming and dependent-chance programming and two hybrid intelligent algorithms are then presented. At the end, efficiency of algorithms for solving fuzzy models of dynamic facilities layout is shown through some numerical examples.
Vorheriger Artikel Performance analysis of support vector machines classifiers in breast cancer mammography recognition
Nächster Artikel Global robust stability of uncertain delayed neural networks with discontinuous neuron activation

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Metadaten
Titel
A new intelligent algorithm for dynamic facility layout problem in state of fuzzy constraints
verfasst von
Mojtaba Kaveh
Vahid Majazi Dalfard
Sajjad Amiri
Publikationsdatum
01.04.2014
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 5/2014
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-013-1339-5

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