In the case of functions with multiple local optima,most nonlinear optimization software methods can get stuck and terminate at a local optimum.

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Nonlinear optimization software methods can get stuck and terminate at a local optimum in the case of functions with multiple local optima. This is because these methods rely on local information to determine the next search direction and can't easily escape from a local optimum once they have converged to it.

In the Case of Functions with Multiple Local Optima,most Nonlinear