@inproceedings{dcde66fbdd9d469e8e303fc9daf84bf7,
title = "Web service selection algorithm based on particle swarm optimization",
abstract = "A novel multi-objective optimization based particle swarm optimization algorithm is presented to solve the global optimization problem for Qo based services selecting in Web services composition technology. This algorithm takes Web services selection as a multi-objective constrained optimization problem with Qos constraints. It introduces multi-objective PSO intelligent theory to optimize multi Qo 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 = "Particle swarm optimization, Quality of service, Service composition, Service selection, Web service",
author = "Hong Xia and Yan Chen and Zengzhi Li and Haichang Gao and Yanping Chen",
year = "2009",
doi = "10.1109/DASC.2009.99",
language = "英语",
isbn = "9780769539294",
series = "8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009",
pages = "467--472",
booktitle = "8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009",
note = "8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009 ; Conference date: 12-12-2009 Through 14-12-2009",
}