Abstract:
Semantic Web service discovery based on Quality of Service(QoS) exists immature convergence and Pareto set uneven distribution. Aiming at this problem that this paper gives a semantic Web service discovery based on hybrid Particle Swarm Optimization(PSO) algorithm based on introduces threshold-based particle compare standards, crowded distance functions and backface mutation operator. Experimental results show that this method has higher matching degree and precision.
Key words:
Web service,
Quality of Service(QoS),
Particle Swarm Optimization(PSO) algorithm,
crowding distance,
mutation operator
摘要: 基于服务质量的语义Web服务发现方法存在未成熟收敛以及Pareto集分布不均等问题。为此,在引入基于阈值的粒子比较准则、拥挤距离函数和合力变异算子的基础上,给出一种基于混合粒子群优化算法的语义Web服务发现方法。实验结果表明,该方法具有较高的匹配度和查准率。
关键词:
Web服务,
服务质量,
粒子群优化算法,
拥挤距离,
变异算子
CLC Number:
HOU Li-Juan, LI Shu-Yu. Semantic Web Service Discovery Based on Hybrid PSO Algorithm[J]. Computer Engineering, 2011, 37(3): 195-197.
侯丽娟, 李蜀瑜. 基于混合PSO算法的语义Web服务发现[J]. 计算机工程, 2011, 37(3): 195-197.