基于GP病虫害预测预报中适应性函数的研究

计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (6): 197-198.

基于GP病虫害预测预报中适应性函数的研究

任春风李淼

中国科学院合肥智能机械研究所吉林建筑工程学院计算机科学与工程系

收稿日期:2006-06-26 修回日期:1900-01-01 出版日期:2007-02-21 发布日期:2007-02-21
通讯作者: 任春风

Study of Fitness Function in Pest Forecasting Based On Genetic Programming

chunfeng ren

Received:2006-06-26 Revised:1900-01-01 Online:2007-02-21 Published:2007-02-21
Contact: chunfeng ren

摘要/Abstract

摘要： 适应性函数是遗传算法和遗传程序设计得以实现的关键因素，是评价个体好坏的定量表述，决定着演化过程中群体选择复制及群体整体性的质量。本文在GP程序过程中在常见适应性函数的基础上加其以优化和调整，最后通过实例验证了优化调整后的适应性函数在病虫害预测预报中的准确度有了一定的提高。

关键词: 遗传程序设计适应性函数规模爆炸

Abstract: Fitness is the driving force of Darwinian natural selection and of both conventional genetic algorithms and genetic programming ,based on which to evaluate individuals of current population and to reproduce the next generation from the current generation.In Modeling of Genetic Programming,based on traditional Fitness Function,Fitness Function is improved and adjusted by means of ways for this design. In the end,through the experiment, it is found that improved fitness function improves the performance of accuracy in pest forecasting.

Key words: Genetic Programming Fitness Function Code Explosion

任春风李淼. 基于GP病虫害预测预报中适应性函数的研究[J]. 计算机工程与应用, 2007, 43(6): 197-198.

chunfeng ren. Study of Fitness Function in Pest Forecasting Based On Genetic Programming[J]. Computer Engineering and Applications, 2007, 43(6): 197-198.