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A hybrid intelligent algorithm for solving the bilevel programming models

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Bibliographic Details
Main Authors: Shamsul Bahar, Yaakob, Prof. Madya, Watada, Junzo
Other Authors: shamshul@unimap.edu.my
Format: Working Paper
Language:English
Published: Springer-Verlag 2011
Subjects:
Bilevel programming model
Neural network
Boltzmann machine
Hopfield network
Meta-controlled Boltzmann machine
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/10464
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id my.unimap-10464
record_format dspace
spelling my.unimap-104642011-01-12T06:39:33Z A hybrid intelligent algorithm for solving the bilevel programming models Shamsul Bahar, Yaakob, Prof. Madya Watada, Junzo shamshul@unimap.edu.my Bilevel programming model Neural network Boltzmann machine Hopfield network Meta-controlled Boltzmann machine Link to publisher's homepage at http://www.springerlink.com/ In this paper, genetic algorithm (GA) and neural network (NN) are integrated to produce a hybrid intelligent algorithm for solving the bilevel programming models. GA is used to select a set of potential combination from the entire generated combination. Then a meta-controlled Boltzmann machine which is formulated by comprising a Hopfield network and a Boltzmann machine (BM) is used to effectively and efficiently determine the optimal solution. The proposed method is used to solve the examples of bilevel programming for two- level investment in a new facility. The upper layer will decide the optimal company investment. The lower layer is used to decide the optimal department investment. Typical application examples are provided to illustrate the effectiveness and practicability of the hybrid intelligent algorithm. 2011-01-12T06:39:33Z 2011-01-12T06:39:33Z 2010 Working Paper Lecture Notes in Computer Science, vol. 6277(2), 2010, pages 485-494 978-3-6421-5389-1 3642153895 0302-9743 http://www.springerlink.com/content/q7r67gkk3j622864/fulltext.pdf http://hdl.handle.net/123456789/10464 en 14th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems (KES) 2010 Springer-Verlag
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Bilevel programming model
Neural network
Boltzmann machine
Hopfield network
Meta-controlled Boltzmann machine
spellingShingle Bilevel programming model
Neural network
Boltzmann machine
Hopfield network
Meta-controlled Boltzmann machine
Shamsul Bahar, Yaakob, Prof. Madya
Watada, Junzo
A hybrid intelligent algorithm for solving the bilevel programming models
description Link to publisher's homepage at http://www.springerlink.com/
author2 shamshul@unimap.edu.my
author_facet shamshul@unimap.edu.my
Shamsul Bahar, Yaakob, Prof. Madya
Watada, Junzo
format Working Paper
author Shamsul Bahar, Yaakob, Prof. Madya
Watada, Junzo
author_sort Shamsul Bahar, Yaakob, Prof. Madya
title A hybrid intelligent algorithm for solving the bilevel programming models
title_short A hybrid intelligent algorithm for solving the bilevel programming models
title_full A hybrid intelligent algorithm for solving the bilevel programming models
title_fullStr A hybrid intelligent algorithm for solving the bilevel programming models
title_full_unstemmed A hybrid intelligent algorithm for solving the bilevel programming models
title_sort hybrid intelligent algorithm for solving the bilevel programming models
publisher Springer-Verlag
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/10464
_version_ 1643789912003051520
score 13.160551

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