文献类型：专利

英文题名：Genetic algorithm based cloud service system dynamic evolution method, involves establishing target cloud service system if fitness value of cloud service candidate is less than threshold size value according to various cloud service

作者：XU H;LI W;SONG W;ZHU X;ZHONG G

机构：[1]UNIV EAST CHINA SCI & TECHNOLOGY

申请号：CN106845643-A

申请日：2017-02-09

公开日：2017-06-13

语种：英文

收录：DERWENT

摘要：NOVELTY - The method involves performing cloud service dynamic evolution coding operation in a cloud service system. The cloud service system is initialized to determine initial cloud service population for calculating a fitness value of a cloud service candidate. The fitness value of the cloud service candidate is compared with a threshold size value. Initial cloud service class primary screening operation is performed. A target cloud service system is established if the fitness value of the cloud service candidate is less than the threshold size value according to a final target various cloud service. USE - Genetic algorithm based cloud service system dynamic evolution method. ADVANTAGE - The method enables generating the cloud service in a rapid and effective manner to improve global preferred cloud service dynamic evolution effect. DESCRIPTION OF DRAWING(S) - The drawing shows a flowchart illustrating a genetic algorithm based cloud service system dynamic evolution method. '(Drawing includes non-English language text)'