Wheat aphid quantity forecasting method and system based on human being evolution gene expression programming

Abstract

The invention discloses a wheat aphid quantity forecasting method and system based on human being evolution gene expression programming. The method is characterized in that the rouging operation is adopted to repair an inferior individual or infeasible individual generated in the natural evolution and to convert the inferior individual or infeasible individual into a feasible individual, the optimizing operation is adopted to enable high-quality gene fragments in a high-quality gene pool to be dispersed in a population, so that the quality of the individual in the population can be effectively improved, and the rate of convergence of the algorithm can be accelerated; the population intervention is adopted to solve the premature convergence phenomenon caused by the loss of diversity of the population in the natural evolution process, the novel feasible individual which is randomly generated in the population and a mirror individual which is generated in a mirror mapping manner and is large in difference are used for substituting the poor individual of the same quantity, so that the diversity of the population is increased, and the global optimizing capacity of the algorithm can be effectively improved.

Description

technical field [0001] The invention relates to a method and system for predicting the population quantity of wheat aphids, in particular to a method and system for predicting the quantity of wheat aphids based on human evolutionary gene expression programming. Background technique [0002] Wheat tube aphid is a common pest in various wheat producing areas in my country. It not only eats away wheat nutrition and affects photosynthesis, but also spreads wheat viruses, which leads to a sharp decrease in wheat yield and quality, and seriously threatens wheat production. Doing a good job in predicting the occurrence of the wheat aphid population is an effective measure to prevent and control the wheat aphid disaster and reduce the use of pesticides. However, the population reproduction rate of the wheat aphid is high, the generations overlap, and a variety of wheat aphids are mixed in different ecological wheat regions, but the occurrence regularity, ecological habits, host rang...

AI Technical Summary

Problems solved by technology

However, in practical applications, it is found that when the traditional gene expression programming algorithm is applied to the population prediction of the wheat aphid, it has the disadvantages of slow convergence speed and easy to fall into local optimum, which leads to low prediction accuracy and poor model generalization ability.

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