New Semantic Web Service Discovery Approach Supporting QoS Using Improved Hybrid Particle Swarm Optimization Algorithm

Author

Lijuan, Hou ; Shuyu, Li

Author_Institution

Coll. of Comput. Sci., Shaanxi Normal Univ., Xi´´an, China

Volume

1

fYear

2010

fDate

6-7 March 2010

Firstpage

567

Lastpage

570

Abstract

Lacking effective QoS support in web services discovery, a new semantic web service discovery approach supporting QoS based on the improved hybrid particle swarm optimization algorithm is proposed. Firstly, in order to keep some particles with smaller constraint violations, the comparison strategy of particles using threshold is revised. Then, to find a set of diverse and well distributed Pareto-optimal solutions, a new crowding distance function is presented. At last, experiment results have shown the effectiveness of the proposed method.

Keywords

Pareto optimisation; Web services; particle swarm optimisation; quality of service; QoS; distance function; distributed Pareto-optimal solutions; hybrid particle swarm optimization algorithm; semantic Web service discovery; Birds; Computer science; Computer science education; Educational institutions; Educational technology; Optimization methods; Particle swarm optimization; Semantic Web; Service oriented architecture; Web services; Comparison Strategy; Crowding distance; PSO; QoS; Web services;

fLanguage

English

Publisher

ieee

Conference_Titel

Education Technology and Computer Science (ETCS), 2010 Second International Workshop on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-6388-6

Electronic_ISBN

978-1-4244-6389-3

Type

conf

DOI

10.1109/ETCS.2010.102

Filename

5458537