Enhanced evolutionary programming for function optimization

B.L. Wu, Xinghuo Yu · 2002

An enhanced evolutionary programming algorithm is proposed for function optimization. This algorithm incorporates the gradient descent mechanism in generation of offspring. Such incorporation improves the low convergence speed that has been a drawback of the evolutionary programming in function optimization. Five well-known test functions are used to show the effectiveness of the enhancement.

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