Web Service Composition based on QoS with Chaos Particle Swarm Optimization

被引：0
作者：
Wang Li [1 ]
He Yan-xiang [1 ]
机构：
[1] Wuhan Univ, Comp Sch, Wuhan 430072, Peoples R China
来源：
2010 6TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS NETWORKING AND MOBILE COMPUTING (WICOM) | 2010年
关键词：
web services composition; chaos operator; Particle Swarm Optimization; Pareto optimal;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Web services composition has become a main measure to create and streamline B2B collaborations within and across organizational boundaries. This paper focuses on the web services composition and provides a novel selection algorithm based on global QoS optimizing and Chaos Particle Swarm Optimiza-tion(CPSM). Firstly, the web services selection model with QoS global optimization is converted into a multi-objective optimization problem. Furthermore, the CPSM is used to select the service and optimize QoS to satisfy the user constraints. During the optimizing procedure, the random and ergodic chaos variable is used to make an optimal search. The simulation shows that the CPSM algorithm is feasible and efficient.
引用
收藏
页数：4
相关论文
共 50 条
  • [31] An improved discrete immune optimization algorithm based on PSO for QoS-driven web service composition
    Zhao, Xinchao
    Song, Boqian
    Huang, Panyu
    Wen, Zichao
    Weng, Jialei
    Fan, Yi
    APPLIED SOFT COMPUTING, 2012, 12 (08) : 2208 - 2216
  • [32] Adaptive Web QoS controller based on online system identification using quantum-behaved particle swarm optimization
    Wei Fang
    Jun Sun
    Xiaojun Wu
    Vasile Palade
    Soft Computing, 2015, 19 : 1715 - 1725
  • [33] Adaptive Web QoS controller based on online system identification using quantum-behaved particle swarm optimization
    Fang, Wei
    Sun, Jun
    Wu, Xiaojun
    Palade, Vasile
    SOFT COMPUTING, 2015, 19 (06) : 1715 - 1725
  • [34] Research on Airport Apron Service Based on Particle Swarm Optimization
    Zhao Gui-hong
    Du Ya-ping
    2013 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING (ICMSE), 2013, : 484 - 488
  • [35] Accurate sub-swarms particle swarm optimization algorithm for service composition
    Liao, Jianxin
    Liu, Yang
    Zhu, Xiaomin
    Wang, Jingyu
    JOURNAL OF SYSTEMS AND SOFTWARE, 2014, 90 : 191 - 203
  • [36] A QoS Anycast Routing Algorithm Based on Genetic Algorithm and Particle Swarm Optimization
    Xiong Qin
    Li Taoshen
    Ge Zhihui
    THIRD INTERNATIONAL CONFERENCE ON GENETIC AND EVOLUTIONARY COMPUTING, 2009, : 125 - 128
  • [37] The Particle Swarm Optimization Algorithm with Adaptive Chaos Perturbation
    Mengxia, L.
    Ruiquan, L.
    Yong, D.
    INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2016, 11 (06) : 804 - 818
  • [38] Chaos Cultural Particle Swarm Optimization and Its Application
    Wang, Ying
    Zhou, Jianzhong
    Lu, Youlin
    Qin, Hui
    Zhang, Yongchuan
    ADVANCES IN NEURAL NETWORKS - ISNN 2009, PT 3, PROCEEDINGS, 2009, 5553 : 30 - 40
  • [39] Mutative scale chaos particle swarm optimization algorithm
    Wang, Hong-gang
    Ma, Liang
    Zhang, Hui-zhen
    Li, Gao-ya
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON SYSTEM MANAGEMENT, 2008, : 71 - 77
  • [40] CAPSO: Chaos Adaptive Particle Swarm Optimization Algorithm
    Duan, Youxiang
    Chen, Ning
    Chang, Lunjie
    Ni, Yongjing
    Kumar, S. V. N. Santhosh
    Zhang, Peiying
    IEEE ACCESS, 2022, 10 : 29393 - 29405
12345