Title :
The Web service selection based on the genetic algorithm
Author :
Wang, Rongxi ; Ma, Li ; Chen, Yanping
Author_Institution :
Comput. Sch., Xi´´an Univ. of Posts & Telecommun., Xi´´an, China
Abstract :
The Web service composition is one of the most effective ways to combine the current net resources and realize the re-utilization and satisfy the personalized requirements, and the foundation of the composition is the Web service selection. Expounded the basic principle of genetic algorithm, and brought the genetic algorithm in the field of Web service selection, and transferred the problem of Web service selection to the problem of multi-object decision making based on QoS, and presented a two times encoding model for solving the Web service problem driven by genetic algorithm which breached the limitation of one dimension encoding, and verified the validity of the genetic algorithm with two times encoding model in solving the problem of Web service selection under the virtual theme.
Keywords :
Web services; decision making; genetic algorithms; quality of service; QoS; Web service composition; Web service selection; genetic algorithm; multiobject decision making; one dimension encoding; Computers; Encoding; Genetic algorithms; Quality of service; Telecommunications; USA Councils; Web services; Web service selection; genetic algorithm; quality of service;
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
DOI :
10.1109/CSSS.2011.5974807