surrogate optimization video -凯发官方首页
find global optima for problems with time-consuming objective function evaluations, including black box models. the surrogateopt
function in global optimization toolbox™ builds and optimizes a surrogate function in place of the expensive function. this derivative-free method can be applied to nonconvex problems.
the problem solved in the video is to determine the optimal position and angle of a cannon to fire a projectile as far as possible over a wall. evaluating this objective function requires solving an ode. a nonlinear constraint is included in the objective with a penalty function.
surrogate optimization is for optimizing objective functions given by simulations, odes, pdes, or other time-consuming computations. it attempts to find a global optimum while using few objective function evaluations.
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