DocumentCode :
3095690
Title :
Web Service Selection Algorithm Based on Particle Swarm Optimization
Author :
Xia, Hong ; Chen, Yan ; Zengzhi Li ; Gao, Haichang ; Chen, Yanping
Author_Institution :
Inst. of Comput. Syst., Xi´´an Jiaotong Univ., Xi´´an, China
fYear :
2009
fDate :
12-14 Dec. 2009
Firstpage :
467
Lastpage :
472
Abstract :
A novel multi-objective optimization based particle swarm optimization algorithm is presented to solve the global optimization problem for based services selecting in Web services composition technology. This algorithm takes Web services selection as a multi-objective constrained optimization problem with constraints. It introduces multi-objective PSO intelligent theory to optimize multi parameters simultaneously, and produces a set of constraints to meet the Pareto optimal solution. The experiments show that the algorithm is a feasible and efficient method for Web services selection.
Keywords :
Pareto optimisation; Web services; particle swarm optimisation; Pareto optimal solution; Web service selection algorithm; Web services composition technology; multiobjective PSO intelligent theory; multiobjective constrained optimization problem; particle swarm optimization algorithm; Computer networks; Constraint optimization; Linear programming; Optimization methods; Particle swarm optimization; Quality of service; Service oriented architecture; Software algorithms; Telecommunication computing; Web services; particle swarm optimization; quality of service; service composition; service selection; web service;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Dependable, Autonomic and Secure Computing, 2009. DASC '09. Eighth IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3929-4
Electronic_ISBN :
978-1-4244-5421-1
Type :
conf
DOI :
10.1109/DASC.2009.99
Filename :
5380436
Link To Document :
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