成都大学学报：自然科学版2012，Vol.31Issue(4)：354-356,3.
基于量子粒子群优化算法的Web服务组合问题
Quantum-behavior Particle Swarm Optimization Algorithm for Solving Problem of Web Service Composition
王创伟 1汤克明1
作者信息
- 1. 盐城师范学院信息科学与技术学院,江苏盐城224002
- 折叠
摘要
Abstract
QPSO (Quantum-behavior Particle Swarm Optimization) algorithm was attempted to solve the problem of web services composition in this paper, which took web services workflow path as particles and was optimized according to QPSO algorithm, so as to solve the problems of web services composition based on QoS constraints. The experimental results indicate that QPSO algorithm for solving complex composition problems has some advantage at composition time.关键词
Web服务组合问题/量子粒子群优化算法/服务质量Key words
web services composition problem/quantum-behavior particle swarm optimization/QoS分类
信息技术与安全科学引用本文复制引用
王创伟,汤克明..基于量子粒子群优化算法的Web服务组合问题[J].成都大学学报：自然科学版,2012,31(4):354-356,3.
