期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Gradient Gene Algorithm: a Fast Optimization Method to MST Problem
1
作者 Zhang Jin bo, Xu Jing wen, Li Yuan xiang State Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072, China 《Wuhan University Journal of Natural Sciences》 CAS 2001年第Z1期535-540,共6页
The extension of Minimum Spanning Tree(MST) problem is an NP hard problem which does not exit a polynomial time algorithm. In this paper, a fast optimization method on MST problem——the Gradient Gene Algorithm is int... The extension of Minimum Spanning Tree(MST) problem is an NP hard problem which does not exit a polynomial time algorithm. In this paper, a fast optimization method on MST problem——the Gradient Gene Algorithm is introduced. Compared with other evolutionary algorithms on MST problem, it is more advanced: firstly, very simple and easy to realize; then, efficient and accurate; finally general on other combination optimization problems. 展开更多
关键词 combination optimization minimum spanning tree problem extension of minimum spanning tree problem gradient gene algorithm
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部