摘要
将传统用于离散空间问题求解的蚁群算法引入连续空间内的系统参数辨识问题求解 ,定义了各智能单蚁的信息量分布函数和相应的系统辨识求解算法 ,并在线性系统参数辨识的实例仿真中得到了很好的结果 ,显示了蚁群算法在连续空间优化问题中的应用前景 .最后 ,对蚁群算法在连续空间优化领域中的适用特征作了总结 ,并指出了今后进一步工作的方向 .
The ant system (AS) algorithm which is often applied to discrete space problem solving is introduced into system parameter identification problem solving in the continuous space. Corresponding identification algorithm is described and trail distribution function of each intelligent ant is defined. Good simulation results are derived in the example of linear system parameter identification, thus the potential of AS algorithm's application to the optimization problems in continuous space is proved. At the end of this paper, the applicability characters of AS application in continuous space optimization problems are summarized, and direction of further study is given.
出处
《自动化学报》
EI
CSCD
北大核心
2003年第1期102-109,共8页
Acta Automatica Sinica
基金
国家自然科学基金 (79970 0 30
6 0 10 40 0 4
70 2 710 35 )
国家高性能计算基金 (995 2 0 )资助~~
