摘要
提出了一种可替代传统搜索算法的改进型模型匹配算法 这种算法将遗传算法 (GeneticAlgorithm ,GA)和经典的线性搜索算法 (LineSearch ingAlgorithm ,LSA)相结合
This fitting process can be regarded as a procedure of optimization based on a certain hand alignment measure. In this paper, an improved algorithm for the model fitting process is proposed to substitute conventional searching algorithm. The algorithm is the combination of Genetic Algorithm (GA) and classical Line Searching Algorithm (LSA). The new algorithm guarantees the fitting solution to be the global optimal and the operation near to be real time implementable.
出处
《山东大学学报（工学版）》
CAS
2002年第4期349-353,共5页
Journal of Shandong University（Engineering Science）
基金
中国科学院沈阳自动化所开放课题基金
山东省自然科学基金资助 (Y2 0 0 1G0 4 )
