电子科技大学学报2018，Vol.47Issue(3)：443-448,6.DOI:10.3969/j.issn.1001-0548.2018.03.019
基于离散粒子群优化的鲁棒Web服务组合
Robust Web Services Composition Based on Discrete Particle Swarm Optimization
摘要
Abstract
The quality of service (QoS) of Web services that serve the Internet business is inherently uncertain, which increases the difficulty of QoS-aware Web service composition optimization problem. Assuming that QoS and its aggregation of services are normally distributed, the calculation methods of expectation and standard deviation of the addition, maximum, minimum and multiplication of two independent normally distributed random variables are focused and a QoS-aware robust Web service composition optimization model is built. By overloading the addition and subtraction operators, and choosing suitable fitness function, a discrete particle swarm optimization algorithm with constraints is designed to solve the model. The simulation experiments illustrate that the model has a good accuracy and the composite service gained has a good robustness.关键词
离散粒子群优化/正态分布/鲁棒性/不确定性/Web服务组合Key words
discrete particle swarm optimization/normal distribution/robustness/uncertainty/web services composition分类
信息技术与安全科学引用本文复制引用
叶恒舟,陆湘鹏..基于离散粒子群优化的鲁棒Web服务组合[J].电子科技大学学报,2018,47(3):443-448,6.基金项目
国家自然科学基金(51365010) （51365010）
广西自然科学基金(2014GXNSFBA118269) （2014GXNSFBA118269）
