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

作　　者：张灿青 彭成[1] 薛智山 满君丰[1,2] ZHANG Canqing;PENG Cheng;XUE Zhishan;MAN Junfeng(College of Computer and Communication,Hunan University of Technology,Zhuzhou 412007;Key Laboratory of Intelligent Information Perception and Processing Technology(Hunan Province),Zhuzhou 412007)

机构地区：[1]湖南工业大学计算机与通信学院,株洲412007 [2]智能信息感知及处理技术湖南省重点实验室,株洲412007

出　　处：《计算机与数字工程》2017年第6期1058-1061,1076,共5页Computer & Digital Engineering

基　　金：国家自然科学基金项目(编号:61350011,61379058,41362015);湖南省自然科学基金项目(编号:14JJ2115,12JJ2036);湖南省教育厅重点项目(编号:16A059);湖南省教育厅优秀青年项目(编号:16B071)资助

摘　　要：在基于构件的系统软件实现过程中,根据用户需求对构件进行检索和选择越来越成为了构件系统的研究重点。利用基于信息素更新的改进基本蚁群算法来优化构件的复用规则,从而提高系统用户对所需构件选取的准确性和有效性。最后经实验结果证明,该方法搜索出来的构件复用规则准确率为75.2%,高于基本蚁群算法和模拟退火算法,对构件的检索和选择起到了较好的支持。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 optimizethe component reuse rules,which can improve the accuracy and efficiency of the system users.Finally,the experimental resultsshow that the proposed method is75.2%,higher than the basic ant colony algorithm and simulated annealing algorithm,which hasbetter 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 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]