Application of neural networks in computing multiobjective stochastic programming
Neural Networks are recognized to be a useful way to solve some optimization problems. In this paper, we will present a neural computing procedure for multiobjective stochastic programming problems. I.M. Stancu-Minasian examined several models of multiobjective stochastic programming with some solving methods and their concrete application in economics. The main idea of our solution procedure is to transform the multiobjective stochastic programming to an equivalent scale optimization problem which will be solved by neural network. Some kind of transformation techniques are considered for which different circuit implementations will be given. In this paper, some other methods will be considered. Numerical work is provided to illustrate the procedure.
- OSTI ID:
- 35994
- Report Number(s):
- CONF-9408161--
- Country of Publication:
- United States
- Language:
- English
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