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Hybrid approach for global optima of indifferentiable nonlinear function

Abstract  A hybrid computational intellective algorithm for locating the global optima of indifferentiable nonlinear function was put forward by setting the Powell algorithm in real-code genetic algorithm. The hybrid approach improved the local searching ability of the genetic algorithm and promoted the probability for the global optima greatly. Because only the objective values are used, the hybrid approach is a generalized genetic algorithm for global optima of differentiable and indifferentiable nonlinear functions.

Key words  global optima；hybrid approach；genetic algorithms；Powell algorithm

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