Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2009, Vol. 32 ›› Issue (4): 63-67.doi: 10.13190/jbupt.200904.63.xiah

• Papers • Previous Articles     Next Articles

A Particle Swarm Optimization Algorithm for Service Selection Problem Based on Quality of Service in Web Services Composition

Zeng-zhi Li   

  • Received:2009-03-14 Revised:1900-01-01 Online:2009-08-28 Published:2009-08-28

Abstract:

A global optimal algorithm based on particle swarm optimization (PSO) is presented to resolve services selection with quality of service (QoS) global optimal in web service composition. This method will transform a web service selection global optimal problem into an optimization problem based on web service QoS. This algorithm is utilized multiobjective particle swarm optimization intelligent optimization principle to produce a set of optimal Pareto with constraint principle by optimizing multi QoS parameters simultaneously. Experiments show the feasibility and efficiency of this algorithm.

Key words: Web Service, service composition, Qos, particle swarm optimization