An evolutionary optimization method based on a hybrid penalty function is proposed for the general constrained optimization problem. As an extension of the earlier method of Evolian (evolutionary optimization based on Lagrangian), the difference comes in the form of the penalty function. The hybrid of an interior penalty and augmented Lagrangian function ensures the generation of feasible solutions during the evolutionary search process with less computation time than reuqired by the interior method. Some numerical results indicate the effectiveness of the hybrid penalty method on several optimization problems.
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