摘要
提出了一种基于遗传算法的Web服务选取方法,使得组合形成的增值服务不仅能完成预定义任务,还能满足用户的特定需求。该方法采用动态适应度函数,提高了服务组合的适应度,通过计算个体间服务质量的海明距离和实施最优个体保存策略,提高了服务组合的质量。实验结果证明了该方法的有效性。
This paper proposes a genetic algorithm based approach for selecting candidates of Web services,so that the composite service can not only fulfill the assigned task,but also meet the requirements for different users.The proposed algorithm may improve adaptability of the composite service using dynamic fitness function,and promote quality of the composite service by calculating Hamming distance of QoS among individuals.The experimental results verify the efficiency of this method.
出处
《华东理工大学学报(自然科学版)》
CAS
CSCD
北大核心
2010年第5期690-694,共5页
Journal of East China University of Science and Technology
基金
国家自然科学基金(60473055
60773094)
上海市曙光计划(07SG32)