A smooth approximation approach for optimization with probabilistic constraints based on sigmoid function

HIGHLIGHTS

• who: Yong H. Ren from the School of Mathematics, Liaoning Normal University, Dalian, PRChina have published the paper: A smooth approximation approach for optimization with probabilistic constraints based on sigmoid function, in the Journal: (JOURNAL)
• what: The authors shall focus on the computational and implementation issues of the proposed smoothing approach.
• how: Numerical results showed that the smooth approximation approach for optimization with probabilistic constraints based on the sigmoid function was implementable and guaranteed desired convergence properties under certain conditions.

SUMMARY

To handle the uncertainty in the constraints, a . . .

 



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