Web service evolution framework based on hybrid co-evolution algorithm
WANG Meng1,LI Shu-yu2
1. College of Computer Science, Shaanxi Normal University, Xi’an Shaanxi 710062, China 2. School of Computer Science, Shaanxi Normal University，Xi'an Shaanxi 710062, China
Abstract：In order to selecte the web services which meet the request in the evolution of Web services efficiently , we propose a web services evolution strategy based on hybrid co-evolutionary algorithm. First of all, by means of the improved fuzzy C-means clustering algorithm, we classify the web services unit into groups according to the application, and then making the internal prioritizing for each subgroup using Particle Swarm Optimization with weights. Finally the co-evolution operation will be executed among the particle subgroups so as to fulfil the users requests and select the best Web services evolution combination. The experimental results show that the hybrid co-evolutionary algorithm is superior to the traditional co-evolutionary algorithms not only in stability, but also the operation cost of time, and could provide quality and efficient services to the service requests in the web environment.
王萌 李蜀瑜. 基于混合协同进化算法的Web服务组合演化策略[J]. 计算机应用, 2012, 32(06): 1717-1720.
WANG Meng LI Shu-yu. Web service evolution framework based on hybrid co-evolution algorithm. Journal of Computer Applications, 2012, 32(06): 1717-1720.
2012, Vol. 32 
