Title: Solving Euclidean multifacility location problems under circular area constraints using Rprop

Authors: G.M. Nasira; T.S.S. Balaji

Addresses: Computer Applications, Chikkanna Govt. Arts College, Tiruppur-641602, TN, India ' Brindavan Institute of Technology and Science, Kurnool-518 218, AP, India

Abstract: The present work considers multifacility location problems with circular area constraints having interactions between sources and destinations. A detailed literature survey reveals that a little attention has been paid to problem involving area constraints. Mathematical formulation and the analytical solutions have been obtained by using Kuhn-Tucker theory. The mathematical solution procedure is very complex and time consuming. Hence, an attempt has been made to get the solution of a complex, constrained multifacility location problem using artificial neural networks (ANN). With the help of numerical examples, it has been established that within the acceptable limits resilient back-propagation (Rprop) model compares well with those obtained through analytical method.

Keywords: multifacility location problem; circular area constraints; resilient back-propagation ANNs; artificial neural networks; Kuhn-Tucker theory; facilities location.

DOI: 10.1504/IJAISC.2015.070631

International Journal of Artificial Intelligence and Soft Computing, 2015 Vol.5 No.2, pp.87 - 104

Accepted: 05 Jul 2014
Published online: 15 Jul 2015 *

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