A fixed structure and multi-population GEP algorithm.

A fixed structure and multi-population GEP algorithm(FSMGEP) was proposed based on the traditional gene expression programming (GEP) theory. The linear string structure with fixed length was used in the description of the individual, which decreased the computation complexity. The collaborative evolutionary thought of multi-population was introduced in the FSMGEP to improve the diversity of the individuals. And the hillclimbing algorithm was utilized to optimize the parameters, which improved the accuracy and efficiency of the FSMGEP. The application in the prediction of speech signals showed that the FSMGEP has better convergence speed and precision than the traditional GEP. [ABSTRACT FROM AUTHOR]