Title :
A Web Service Composition Method Based on Merging Genetic Algorithm and Ant Colony Algorithm
Author :
Zhengde Zhao;Xin Hong;Shaohua Wang
Author_Institution :
Sch. of Comput. Eng. &
Abstract :
In order to improve the efficiency of web service composition based on traditional heuristic algorithm, this paper focuses on the web service composition method by merging genetic algorithm(GA) and ant colony algorithm(ACA). Firstly, this paper transforms web service composition into finding a QoS global optimal path, then obtains the initial pheromone distribution of ACA by running GA, finally works out the QoS global optimal solution by running ACA. This paper compares the algorithm above with the web service composition method based on traditional heuristic algorithm and verifies its effectiveness through the experiment and related data.
Keywords :
"Web services","Quality of service","Genetic algorithms","Heuristic algorithms","Biological cells","Algorithm design and analysis","Merging"
Conference_Titel :
Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), 2015 IEEE International Conference on
DOI :
10.1109/CIT/IUCC/DASC/PICOM.2015.152