Neural network technique for fuzzy multiobjective linear programming

Neural Network(NN) is well-known as one of powerful computing tools to solve optimization problems. Due to the massive computing unit-neurons and parallel mechanism of neural network approach we can solve the large-scale problem efficiently and optimal solution can be gotten. In this paper, we intor...

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Bibliographic Details
Published in:Computers & industrial engineering Vol. 35; no. 3; pp. 543 - 546
Main Authors: Gen, Mitsuo, Ida, Kenichi, Kobuchi, Reiko
Format: Journal Article Conference Proceeding
Language:English
Published: Seoul Elsevier Ltd 01.12.1998
Oxford Pergamon Press
New York, NY
Subjects:
Applied sciences
Exact sciences and technology
Fuzzy Multiobjective Linear Programming
Mathematical programming
Neural Networks
Operational research and scientific management
Operational research. Management science
Neural Networks
Fuzzy Multiobjective Linear Programming
Fuzzy logic
Linear programming
Neural network
Penalty method
Multiobjective programming
Constrained optimization
ISSN:0360-8352, 1879-0550
Online Access:Get full text
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Summary:Neural Network(NN) is well-known as one of powerful computing tools to solve optimization problems. Due to the massive computing unit-neurons and parallel mechanism of neural network approach we can solve the large-scale problem efficiently and optimal solution can be gotten. In this paper, we intoroduce improvement of the two-phase approach for solving fuzzy multiobjectve linear programming problem with both fuzzy objectives and constraints and we propose a new neural network technique for solving fuzzy multiobjective linear programming problems. The procedure and efficiency of this approach are shown with numerical simulations.
ISSN:0360-8352
1879-0550
DOI:10.1016/S0360-8352(98)00154-5