作者: Yan Wang , Jiantao Zhou , Jing Liu , Tenghe Au , Xiaoyu Song
DOI: 10.1109/SCC.2016.79
关键词:
摘要: The quality-of-service (QoS) is a common focus which users and service providers pay close attention to at present. For providers, it one of their main targets find the optimal QoS strategy based on user preferences. However, because fuzziness preferences complexity environment, searching an becomes difficult problem. In paper, how affects user's satisfaction analyzed, then quantitative relationship between built. Based relationship, utility model cloud established. order maximize utility, evolutionary algorithm proposed. algorithm, some improvement designed balance contradiction search scope speed in traditional genetic algorithm. It can be seen through experiments that optimization output by consistent with target preferences, effectively enhance cost effectiveness resources.