基于改进蚁群算法的构件检索优化方法

摘要

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.%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.