Method and system for predicting the number of wheat aphids based on human evolutionary gene expression programming

Abstract

The invention discloses a method and system for predicting the number of wheat aphids based on human evolutionary gene expression programming. The "removing inferior" operation is used to repair inferior or infeasible individuals generated in natural evolution and transform them into viable individuals. The "enhancing optimization" operation is to make the high-quality gene fragments in the high-quality gene bank diffuse in the population, thereby effectively improving the quality of individuals in the population and speeding up the convergence speed of the algorithm; using population intervention, due to population diversity in the natural evolution process, due to population diversity The phenomenon of premature convergence caused by deletion is to replace the same number of poor individuals with new randomly generated feasible individuals and mirror individuals with a large degree of difference generated by mirror mapping in the population to increase the diversity of the population, thereby effectively improving. The global optimization ability of the algorithm.

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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