Solving Multiple Objective Programming Problems Using Feed-Forward Artificial Neural Networks: The Interactive FFANN Procedure

In this paper, we propose a new interactive procedure for solving multiple objective programming problems. Based upon feed-forward artificial neural networks (FFANNs), the method is called the Interactive FFANN Procedure. In the procedure, the decision maker articulates preference information over r...

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Bibliographic Details
Published in:	Management science Vol. 42; no. 6; pp. 835 - 849
Main Authors:	Sun, Minghe, Stam, Antonie, Steuer, Ralph E
Format:	Journal Article
Language:	English
Published:	Linthicum, MD INFORMS 01.06.1996 Institute for Operations Research and the Management Sciences
Series:	Management Science
Subjects:	Algorithms analytic hierarchy process Applied sciences Artificial intelligence Artificial neural networks Computer science; control theory; systems Connectionism. Neural networks Connectivity Decision making Decision making models Decision theory. Utility theory Exact sciences and technology feed-forward artificial neural networks Information economics interactive procedures Iterative solutions Linear programming Management science Mathematical vectors Matrices Methods multiple criteria decision making multiple objective programming Multivariate analysis Networks Neural networks Operational research and scientific management Operational research. Management science Operations research Optimal solutions Optimization Programming Studies Multicriteria analysis Decision making Analytic hierarchy process Multiobjective programming Decision criterion Neural network Artificial intelligence Mathematical programming
ISSN:	0025-1909, 1526-5501
Online Access:	Get full text
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