摘要
通过将带可变邻域搜索的进化策略引入解决组合问题的蚂蚁算法,得到了可以用于解决连续优化问题的改进的蚂蚁算法,并给出了优化步骤。将改进的蚂蚁算法应用于试井曲线的拟合中,并编写了计算程序。改进的蚂蚁算法与遗传算法的对比结果表明,前者的收敛速度和收敛值以及在多局部最优解问题上均优于遗传算法,并具有较强的实用性。
The ant colony algorithm which can solve the combination problem was introduced to evolutionary strategy with searching variable neighborhood,the improved method which can ideally solve continuous optimizing problem was obtained and the optimizing processes were given.This improved ant colony algorithm has been applied to the fitting process of well test curves and the program has been made to calibrate well test model.The convergence speed and result and multi-local optimal solution of the improved ant colony algorithm are better than these of genetic algorithm and the former will be more usable than the latter.
出处
《油气地质与采收率》
CAS
CSCD
北大核心
2008年第1期87-89,共3页
Petroleum Geology and Recovery Efficiency
基金
国家“973”项目“碳酸盐岩缝洞型油藏流体流动机理研究”(2006CB202404)
关键词
改进的蚂蚁算法
试井
参数优化
遗传算法
improved ant colony algorithm,well test,parameter optimization,genetic algorithm
