Component Search Optimization Method Based on Improved Ant Colony Algorithm
ZHANG Canqing
PENG Cheng
XUE Zhishan
MAN Junfeng
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.
Keywords：component retrievalimproved ant colony algorithmmultiplexing rule
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1058-1061,1076 )