Stochastic approximation method for solving the stochastic multiobjective programming problem
Copyright policy ) NORIO BABA; AKIRA MORIMOTO;
Stochastic approximation method for solving the stochastic multiobjective programming problem
Abstract 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.
- Osaka University Japan
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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