计算机与数字工程2017，Vol.45Issue(6)：1058-1061,1076,5.DOI:10.3969/j.issn.1672-9722.2017.06.010
基于改进蚁群算法的构件检索优化方法
Component Search Optimization Method Based on Improved Ant Colony Algorithm
摘要
Abstract
In the process of component based software implementation,it is more and more important to search and select com?ponents according to the needs of users. Based on pheromone update,the improved basic ant colony algorithm is used to optimize the component reuse rules,which can improve the accuracy and efficiency of the system users. Finally,the experimental results show that the proposed method is 75.2%,higher than the basic ant colony algorithm and simulated annealing algorithm,which has better support for the retrieval and selection of components.关键词
构件检索/改进蚁群算法/复用规则Key words
component retrieval/improved ant colony algorithm/multiplexing rule分类
信息技术与安全科学引用本文复制引用
张灿青,彭成,薛智山,满君丰..基于改进蚁群算法的构件检索优化方法[J].计算机与数字工程,2017,45(6):1058-1061,1076,5.基金项目
国家自然科学基金项目(编号:61350011,61379058,41362015) （编号:61350011,61379058,41362015）
湖南省自然科学基金项目(编号:14JJ2115,12JJ2036) （编号:14JJ2115,12JJ2036）
湖南省教育厅重点项目(编号:16A059) （编号:16A059）
湖南省教育厅优秀青年项目(编号:16B071)资助. （编号:16B071）
