摘要
遗传算法和退化规划是目前工程应用研究中最普遍的两种进化算法，由于它们的来源及原理的不同导致它们在生物基础、算法操作及实施细节上均存在很大差异，适最终影响到它们的实施效果及性能。通过系统的理论分析及函数仿真实验研究表明。进化规划无论是生物基础、算法实施选是计算性能方面都明显优于遗传算法，是处理工程优化问题的一种更理想的方法。
Algorithm and evolutionary programming are two generally used evolutionary algorithms. Due to the differences of their origins, there are a lot of differences between their biologic bases, algorithm operation and some other operational details. So, the performances of the two algorithms are different. In this paper, these differences are analyzed comprehensively by theory and revealed by simulation experiments. The results show that theperformance of evolutionary programming is better than that of genetic algorithm and the evolutionary programming is more suitable for practical applications.
出处
《通讯和计算机（中英文版）》
2005年第8期10-14,45,共6页
Journal of Communication and Computer
关键词
遗传算法
进化规划
比较研究
算法操作
Genetic Algorithm
Evolutionary Programming
Comparison Study
