Lipschitzian optimization without the Lipschitz constant
Journal of Optimization Theory and Applications
Modifications of the direct algorithm
Modifications of the direct algorithm
Global optimization with the direct algorithm
Global optimization with the direct algorithm
Extension of the direct optimization algorithm for noisy functions
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
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The most common approach for solving constrained optimization problems is based on penalty functions, where the constrained problem is transformed into an unconstrained problem by penalizing the objective function when constraints are violated. In this paper, we analyze the implementation of penalty functions, within the DIRECT algorithm. In order to assess the applicability and performance of the proposed approaches, some benchmark problems from engineering design optimization are considered.