Price simulation and prediction of leaf vegetable based on gene expression algorithm

4th International Conference on Agricultural and Biological Sciences

农业科学;生物科学

Su, Z.H.^1

Institute of Agricultural Economics and Rural Development, GAAS, Guangzhou

510640, China^1

关键词: Faster convergence;    Gene expression programming;    Leaf vegetables;    Leafy vegetables;    Training data;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/185/1/012013/pdf
DOI  :  10.1088/1755-1315/185/1/012013

来源: IOP

【 摘 要 】

Based on the traditional gene expression algorithm, the paper proposed an improved gene expression algorithm, adding "inverted string" and "gene extraction" operator. An improved GEP algorithm is used in the leafy vegetables prices forecast, create the mathematical model through the analysis and evolution of training data, realize the simulation and forecast of the price of leafy vegetables. Through several experiments, the results proved that the new type of gene expression programming algorithm has faster convergence rate and higher precision in predicting the price of leafy vegetables.