Paper Info
Title
A hybrid intelligent algorithm for solving the bilevel programming models
Abstract
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.
Year
DOI
Venue
2010
10.1007/978-3-642-15390-7_50
KES (2)
Keywords
Field
DocType
hopfield network,bilevel programming,boltzmann machine,bilevel programming model,optimal solution,genetic algorithm,level investment,optimal department investment,hybrid intelligent algorithm,optimal company investment,neural network
Boltzmann machine,Mathematical optimization,Bilevel optimization,Computer science,Algorithm,Artificial intelligence,Artificial neural network,Hopfield network,Genetic algorithm
Conference
Volume
ISSN
ISBN
6277
0302-9743
3-642-15389-5
Citations 
PageRank 
References 
3
0.41
6
Authors
2
Name
Order
Citations
PageRank
Shamshul Bahar Yaakob1265.70
Junzo Watada241184.53