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Stochastic approximation method for solving the stochastic multiobjective programming problem

 

作者: NORIO BABA,   AKIRA MORIMOTO,  

 

期刊: International Journal of Systems Science  （Taylor Available online 1993）
卷期: Volume 24, issue 4  

页码: 789-796

 

ISSN:0020-7721

 

年代: 1993

 

DOI:10.1080/00207729308949522

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

In this paper, we consider the multiobjective optimization problem in which each objective function is disturbed by noise. It is shown that a stochastic approximation method is able to find the appropriate solution of this problem. Several computer simulation results also confirm our theoretical study.

 

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