基于改进基因表达式程序设计的菠菜价格建模及预测  

Modeling and prediction of spinach price based on improved gene expression programming

作　　者：杨磊[1] 赖志杰 苏柱华 何朝彬 彭红星[1] 陈皓[4] 严玉宁[4] 

机构地区：[1]华南农业大学数学与信息学院,广东广州510642 [2]广东省科技创新监测研究中心,广东广州510033 [3]广东省农科院农业经济与农村发展研究所,广东广州510640 [4]广东村村通科技有限公司,广东广州510045

出　　处：《广东农业科学》2016年第1期151-158,共8页Guangdong Agricultural Sciences

基　　金：广东省科技计划项目(2015A020209119;2014A020208087;2012B040500054)

摘　　要：基因表达式程序设计(GEP)是一种基于基因型和表现型的新型进化算法。针对传统GEP遗传算子进行建模及预测时容易受到噪声干扰,导致过早收敛,陷入局部最优等缺点,提出了一种新型GEP算法,增加了"倒串"和"基因提取"算子,该新型算法可以提高基因的有效利用率,具有更高的收敛速度和求解精度,且能更好的避免早熟现象。将该新型GEP算法用在菠菜价格预测上,通过对训练数据进行分析和进化创建数学模型,实现菠菜价格的仿真与预测,通过多组实验证明,该新型基因表达式程序设计算法在菠菜价格预测上具有更快的收敛速度和更高的精度。Gene expression programming（GEP） is a new evolutionary algorithm based on genotype and phenotype, the genetic operators of traditional GEP are easily influenced by noise, leading to premature convergence and local solution. This paper proposes an improved GEP（IGEP）algorithm, which increases the ＂inverted series＂ and ＂extract＂ operator, can effectively increase the utilization rate of genes, and the convergence speed and solution precision is higher, can avoid the premature phenomenon. The improved GEP algorithm is used to predict the price of spinach. Through the analysis and evolution of training data to create a mathematical model,the simulation and prediction of spinach price is realized. The results show that the new IGEP algorithm has faster convergence speed and higher accuracy in the prediction of spinach price.

关 键 词：GEP IGEP 菠菜价格预测 基因利用率 基因提取 

分 类 号：S636.1[农业科学—蔬菜学] O141.41[农业科学—园艺学]