摘要
简要介绍了遗传规划的基本内容，结合具体例子论述了遗传规划成功应用的实际领域的特征，指出研究与应用遗传规划时常见的两个问题，并从理论上给出了相应的对策。
Genetic Programming is increasing the popularity as the basis for a wide range of learning algorithms. In this paper a brief introduction to Genetic Programming (GP) and the characteristics of the areas in which GP can be successfully applied are presented, combined with some examples including some of our works. Two common problems encountered when applying GP,i.e. the exploration of the size of individuals and the available subroutines, are discussed and the methods to solve them are given in order to improve the power of GP.
出处
《管理科学学报》
1999年第4期62-69,共8页
Journal of Management Sciences in China
基金
国家自然科学基金!69574022
69974026
关键词
遗传规划
遗传算法
自动编程
计算机
genetic programming
application area
redundancy
subroutine
