In this paper we propose a new approach to solving constrained nonlinear optimization problems using differential evolution. A method of handling the constraints is based on the works of Fletcher and his co-workers. The filter is a general methodology of handling constraints and differential evolution is a very efficient method for unconstrained optimization problems. Thus, one can expect a high efficiency of using them together. The filter is based on the idea of multi-criteria optimization. Numerical results for typical benchmark problems are provided. The efficiency of the proposed method ocureed satisfactory.
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