摘要
介绍了一种新的解决优化问题的连续型蚁群算法,它具有简单易实现且计算效率高等特点,特别适用于复杂工程优化问题。土坡潜在滑动面的搜索可变成一个典型的复杂连续函数优化问题。最后,通过一个典型算例进行验证,并与遗传进化算法比较表明,本算法的计算效率较高。
A new method namely continuous ant colony algorithm method is introduced to solve optimizations problem, the search of critical slip surface of soil slope can be transformed into the typical optimizations of complicated continuous functions. An example is given for demonstrating the validity of this method. The comparison with genetic evolution algorithm shows that the proposed method has higher efficiency.
出处
《露天采矿技术》
CAS
2007年第1期1-3,6,共4页
Opencast Mining Technology
关键词
蚁群系统
连续蚁群优化算法
信息素
边坡
临界滑动面
ant system
continuous ant colony optimization algorithms
pheromone
slope
critical slip surface
