A Feasible Method for Constrained Derivative-Free Optimization
A Feasible Method for Constrained Derivative-Free Optimization
This paper explores a method for solving constrained optimization problems when the derivatives of the objective function are unavailable, while the derivatives of the constraints are known. We allow the objective and constraint function to be nonconvex. The method constructs a quadratic model of the objective function via interpolation and …