计算机技术与发展2018，Vol.28Issue(3)：101-104,4.DOI:10.3969/j.issn.1673-629X.2018.03.021
基于参数自适应差分进化算法的Web服务组合
Web Service Composition Based on Differential Evolution Algorithm with Adaptive Parameters
摘要
Abstract
In order to accurately reflect the user satisfaction with the quality of service experience,we put forward a Web service composi-tion model based on QoE (quality of experience) and solve it by algorithm of differential evolution(DE).Firstly,we establish a fuzzy expert evaluation system based on QoE,by which the parameters are transformed into QoE mathematical expression.In the second place, on the basis of the standard DE,the chaos initialization and parameter adaptive mechanism are introduced.Using the characteristics of cha-os and DE parameters not only can overcome the shortcomings of falling into local optimal for DE,but also improve the performance and the ability to find the global optimal of DE,as well as its stability and reliability.Finally,it is made a comparison with PSO,ACO,the standard DE and Chaotic initialization DE.The experiments show that the parameter adaptive DE in Web services on combinatorial opti-mization problems has the characteristic of fast convergence and high stability.关键词
Web服务组合/体验质量/模糊专家系统/差分进化算法Key words
Web service composition/QoE/fuzzy expert system/differential evolution algorithm分类
信息技术与安全科学引用本文复制引用
李强,周井泉,张严凯..基于参数自适应差分进化算法的Web服务组合[J].计算机技术与发展,2018,28(3):101-104,4.基金项目
国家自然科学基金(61401225) （61401225）
中国博士后科学基金资助项目(2015M571789) （2015M571789）
