A Class of Augmented Filled Functions |
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Authors: | Xian Liu |
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Institution: | (1) Department of Systems Engineering, University of Arkansas at Little Rock, Little Rock, AR 72204-1099, USA |
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Abstract: | The filled function method is an effective approach to find the global minimizer. Two of the recently proposed filled functions
are H(X) and L2(X). Although their numerical behavior is acceptable, they are not defined everywhere. This paper proposes a class of augmented
filled functions with improved analyticity. Issues covered in the presented work include: theoretical properties, convergence
analysis, geometric interpretation, algorithms, and numerical experiments. The overall performance of the new approach is
comparable to the recently proposed ones. |
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Keywords: | filled function method global optimization minimization nonlinear programming |
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