摘要
以数据为基础的计算智能是智能领域的研究热点,进化计算作为计算智能一个重要分支有着广泛的应用。适应度函数是决定进化性能的关键因素之一,研究进化计算在试卷分析中的应用,着重研究适应度函数的构造。根据不同的进化阶段来构造不同的适应度函数,在保证群体多样性的同时加快进化速度,从而提高进化性能。
Computational intelligence which based on data is the focus in the field of intelligence research, and evolutionary computation as an important branch of computational intelligence has wide applications. The fitness function is the key factors which determines the performance of evolution. Researches on the applications of evolutionary computation in papers analysis, and focuses on the construction of the fitness function which depends on different evolutionary stages. This construction method can ensure the population diversity and accelerate the evolution rate, thereby enhance the performance of evolution.
出处
《现代计算机》
2010年第6期24-25,43,共3页
Modern Computer
关键词
计算智能
进化计算
适应度函数
试卷分析
Computational Intelligence
Evolutionary Computation
Fitness Function
Papers Analysis
