期刊文献+

基于蚁群算法的民办高校实验室管理系统优化 被引量:1

Optimization Based on Ant Colony Algorithm for Private University Laboratory Management System
下载PDF
导出
摘要 高校实验室是高校培养符合社会需求高素质人才的重要实践场所。实验设施是民办高校综合评估通过与否的重要因素,它不仅是高校对在校生实施基础学科教育的场所,也是各个学校开展科研项目的重要场地。实验室的有效使用可拓展学生实践动手能力,发散学生思维。计算机信息技术的不断推进和科研创新项目的不断探索,需要现代计算机技术的支持。蚁群算法提出的一种新型模拟进化算法可满足学校教务活动的需求,同时提高学校教学资源的利用率。 College laboratory is an important practice place for colleges and universities to cultivate high-quality talents in line with social needs.The experimental facility is an important factor for the comprehensive evaluation of private colleges and universities.It is not only a place for universities to carry out basic subject education for students,but also an important place for schools to carry out scientific research projects.The effective use of laboratories can expand students^practical ability and divert students^thinking.The continuous advancement of computer information technology and the continuous exploration of scientific research and innovation projects need the support of modern computer technology.A new simulated evolutionary algorithm proposed by ant colony algorithm can meet the needs of school educational activities and improve the utilization of teaching resources.
作者 宋志远 Song Zhiyuan(Wuchang Institute of Technology, Wuhan Hubei 430065, China)
机构地区 武昌工学院
出处 《信息与电脑》 2018年第23期85-86,共2页 Information & Computer
关键词 实验室管理 实验室预约 蚁群算法 laboratory management laboratory reservation ant colony algorithm
  • 相关文献

参考文献1

二级参考文献7

  • 1刘秋红,寒枫,张钰,李海瑛.基于分层的自适应遗传算法在UTP中的应用研究[J].贵州大学学报(自然科学版),2007,24(2):184-187. 被引量:7
  • 2CARTER M W, LAPORTE G. Recent developments in practical course timetabling[M]//BURKE E K, CARTER W. The Practice and Theory of Automated Timetabling. Berlin: Springer-Verlag, 1997: 3-19.
  • 3余样宣,崔国华,邹海明.计算机算法基础[M].2版.武汉:华中科技大学出版社,2000.
  • 4WANG Ling, ZHANG Liang, ZHENG Da-zhong. An effective hybrid genetic algorithm for flow shop scheduling with limited buffers [J].Computers and Operations Research, 2006, 33: 2960-2971.
  • 5[日]玄光南 程润伟.遗传算法与工程设计[M].北京:科学出版社,2000..
  • 6徐宁,李春光,张健,虞厥邦.几种现代优化算法的比较研究[J].系统工程与电子技术,2002,24(12):100-103. 被引量:62
  • 7丁建立,陈增强,袁著祉.遗传算法与蚂蚁算法的融合[J].计算机研究与发展,2003,40(9):1351-1356. 被引量:287

共引文献9

同被引文献9

引证文献1

二级引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部