Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an improved multi-expression programming MEP. In the algorithm, each individual is encoded as a double-layer structure, and two-dimension space operators are introduced through two-dimension crossover and mutation. The problems of symbolic expression are defined and used as benchmarks to compare the effectiveness of proposal method against the baseline single-layer MEP. Experiments shod that our method using two-dimensional super chromosome can find the optimal solution in a short time with small population. Then the improved algorithm is applied to the prediction of 28-day cement compressive strength. Comparison with other three soft computing models, namely MEP model, neural networks NN model and fuzzy logic FL model on cement strength prediction revealed that the improved MEP model has a lor rate in RMSE and MAE. Test results demonstrate the proposed method is efficient and performed better in function discovery and data prediction.
['Qingke Zhang', 'Bo Yang', 'Lin Wang', 'Jianzhang Jiang']
I am writing a research paper on a idea An improved multi-expression programming algorithm applied in function discovery and data prediction
[{"from": "human", "value": "I am writing a research paper on a idea An improved multi-expression programming algorithm applied in function discovery and data prediction"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents an improved multi-expression programming MEP. In the algorithm, each individual is encoded as a double-layer structure, and two-dimension space operators are introduced through two-dimension crossover and mutation. The problems of symbolic expression are defined and used as benchmarks to compare the effectiveness of proposal method against the baseline single-layer MEP. Experiments shod that our method using two-dimensional super chromosome can find the optimal solution in a short time with small population. Then the improved algorithm is applied to the prediction of 28-day cement compressive strength. Comparison with other three soft computing models, namely MEP model, neural networks NN model and fuzzy logic FL model on cement strength prediction revealed that the improved MEP model has a lor rate in RMSE and MAE. Test results demonstrate the proposed method is efficient and performed better in function discovery and data prediction."}]