Global Option
Introduction
The Global Option provides the global optimisation capability.
Local search solvers are generally designed to search only until they have identified a local optimum. If the model is non-convex, other local optima may exist that yield significantly better solutions. Rather than stopping after the first local optimum is found, the global solver will search until the global optimum is confirmed. The global solver converts the original non-convex, nonlinear problem into several convex, linear subproblems. Then, it uses the branch-and-bound technique to exhaustively search over these subproblems for the global solution. The nonlinear and global license options are required to utilize the global optmization capabilities.