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