Description: Penalty function method for solving constrained (minimum) optimization problem of a class of better algorithms. The basic idea: In accordance with the characteristics of structure bound by a penalty function and penalty function to add up to the objective function in order to get an augmented objective function, so that the solution of constrained optimization problems into a series of unconstrained optimization problems to solve .
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