Copula theory approach to stochastic geometric programming

A neural network approach to solve geometric programs with joint probabilistic constraints

“…The method consists in approximating the constraints of the robust model by a piecewise-linear convex approximation. Khanjani-Shiraz et al [16] study a stochastic geometric programming problem with joint chance constraints with elliptically distributed random parameters where the constraints are dependent.…”