Title :
A survey on bio-inspired algorithms for web service composition
Author :
Wang, Lijuan ; Shen, Jun ; Yong, Jianming
Author_Institution :
Fac. of Inf., Univ. of Wollongong, Wollongong, NSW, Australia
Abstract :
Web service composition has become a promising technology in a variety of e-science or e-business areas. There are a variety of models and methods to deal with this issue from different aspects. Bio-inspired algorithms are becoming main approaches and solutions. This paper reviews the current researches on web service composition based on bio-inspired algorithms, such as Ant Colony Optimization (ACO), Genetic Algorithm(GA), Evolutionary Algorithm (EA) and Particle Swarm Optimization(PSO). By analyzing and investigating different approaches, this paper gives an overview about the researches on bio-inspired algorithm in web service composition and point out future directions.
Keywords :
Web services; ant colony optimisation; genetic algorithms; particle swarm optimisation; ACO; EA; GA; PSO; Web service composition; ant colony optimization; bioinspired algorithm; e-business; e-science; evolutionary algorithm; genetic algorithm; particle swarm optimization; Abstracts; Adaptation models; Biological system modeling; Fluid flow measurement; Reliability; Switches; Bio-inspired algorithms; quality of service; web service composition;
Conference_Titel :
Computer Supported Cooperative Work in Design (CSCWD), 2012 IEEE 16th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4673-1211-0
DOI :
10.1109/CSCWD.2012.6221875
