In this article, we consider the memory type product estimator to estimate the population mean of the study variable in stratified random sampling. The suggested estimators’ bias and mean square error (MSE) expressio...
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genetic programming technique has been found to be suitable in scenarios where the formulation of models is a data driven process. Evolutionary programming provides a way of searching for parameters in a model without...
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ISBN:
(纸本)0780393635
genetic programming technique has been found to be suitable in scenarios where the formulation of models is a data driven process. Evolutionary programming provides a way of searching for parameters in a model without being prone to fall in local minima. A review of how these techniques have been applied to the analysis of elliptical galaxies is given. The effectiveness of a maximum likelihood based fitness function is asserted and is applied to the parameter fitting using evolutionary programming. A maximum likelihood based function is found to show consistent and significant improvement over a hit-based fitness function for modeling the profiles of elliptical galaxies. It is asserted that such a function would potentially improve the quality of model produced by symbolic regression using geneticprogramming.
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