计算机科学 ›› 2015, Vol. 42 ›› Issue (6): 71-75.doi: 10.11896/j.issn.1002-137X.2015.06.016
张燕平,荆紫慧,张以文,钱付兰,石 磊
ZHANG Yan-ping, JING Zi-hui, ZHANG Yi-wen, QIAN Fu-lan and SHI Lei
摘要： 随着互联网中Web服务数量急剧增加,如何从大量候选服务中快速、动态地选择出满足用户QoS需求的服务组合是亟待解决的关键问题。提出一种基于离散粒子群智能优化算法的DDPSO算法,以解决动态Web服务组合问题。首先引入Skyline技术来剔除冗余候选服务,以降低服务选择时空开销。其次针对PSO易陷入早熟收敛状态,使用Trimming Operators保证粒子群多样性,增强全局搜索能力。最后通过真实数据集和随机数据集的大量仿真实验验证了本算法的可行性和有效性。
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