Gene expression programming in prediction
Qu Li, Zhihua Cai, Siwei Jiang, Li Zhu · 2004
In order to solve the prediction problem of multiple variables, gene expression programming was used in comparison with genetic programming and linear regression in terms of accuracy and stability. Gene expression programming was chosen for its high performance and easy genetic manipulation comparing with genetic programming. Results show that the model discovered by gene expression programming is much more accurate and stable than the one discovered by genetic programming and linear regression.