摘要
基因表达式程序设计(简称GEP)是一种新型的遗传算法,它继承了遗传程序设计(简称GP)和遗传算法(简称GA)的优点并且具有更高效和更强的搜索能力,是借鉴生物选择和进化机制发展起来的一种高度并行、随机、自适应的搜索算法。特别适合于处理像遥感数字图像这样复杂和非线性的问题,尤其是遥感图像匹配问题更是用普通方法难以解决,介绍表达式程序设计,实现GEP算法在遥感数字图像匹配中的函数发现。
Gene expression programming (GEP) is a lately genetic algorithm programming, simpler representation and the creation of higher levels of complexity than GP and GA, which is specially suited to the processing likely remote sensing digital image such complicated and the non-linear questions. The remote sensing image matching question is a particular difficult solves with the ordinary method. In this article, it introduces the theory of gene expression programming, and then emphatically introduce its function discovery in the field of remote sensing digital image matching.
出处
《计算机与数字工程》
2007年第10期92-94,共3页
Computer & Digital Engineering
基金
国家"973"计划项目"大型矿集区识别与预测"(编号:2001CD409809)资助
