Title :
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
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;
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
DOI :
10.1109/ETCS.2010.102
