An improved discrete immune optimization algorithm based on PSO for QoS-driven web service composition

Applied Soft Computing Journal

Volumn 12, Issue 8, 2012, Pages 2208-2216

  Zhao, Xinchao ^a,b   Song, Boqian ^a   Huang, Panyu ^a   Wen, Zichao ^a   Weng, Jialei ^a   Fan, Yi ^a  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^b NANJING UNIVERSITY   (China)

Author keywords

Immune optimization; Particle swarm optimization; Quality of Service; Web service

Indexed keywords

BEST-FIRST STRATEGY; COMPOSITE WEB SERVICES; EMPIRICAL COMPARISON; EQUIVALENT EFFECT; HIGH STABILITY; IMMUNE OPTIMIZATION; LOCAL FITNESS; MATHEMATICAL ANALYSIS; POPULATION DIVERSITY; QOS CONSTRAINTS; SEARCHING CAPABILITY; SELECTION PRESSURES; SERVICE SELECTION; WEB SERVICE COMPOSITION;

ALGORITHMS; PARTICLE SWARM OPTIMIZATION (PSO); WEB SERVICES; WEBSITES;

QUALITY OF SERVICE;

EID: 84861915836     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.03.040     Document Type: Article

References (28)

1. L.N. De Castro, and J.I. Timmis Artificial Immune Systems: A New Computational Intelligence Paradigm 2002 Springer-Verlag
2. T.S. Sobh, and W.M. Mostafa A cooperative immunological approach for detecting network anomaly Applied Soft Computing 11 2011 1275 1283
3. X.Q. Zuo, H.W. Mo, and J.P. Wu A robust scheduling method based on a multi-objective immune algorithm Information Sciences 179 2009 3359 3369
4. M. Bereta, and T. Burczynski Immune K-means and negative selection algorithms for data analysis Information Sciences 179 2009 1407 1425
5. M.G. Gong, L.C. Jiao, and L.N. Zhang Baldwinian learning in clonal selection algorithm for optimization Information Sciences 180 2010 1218 1236
6. Q.Z. Xu, L. Wang, and J. Si Predication based immune network for multimodal function optimization Engineering Applications of Artificial Intelligence 23 2010 495 504
7. K. Trojanowski, and S.T. Wierzchon Immune-based algorithms for dynamic optimization Information Sciences 179 2009 1495 1515
8. D. Dasgupta, S. Yu, and F. Nino Recent advances in artificial immune systems: models and applications Applied Soft Computing 11 2011 1574 1587
9. L.N. de Castro, and F.J. Von Zuben Learning and optimization using the clonal selection principle IEEE Transactions on Evolutionary Computation 6 3 2002 239 251 (Pubitemid 34867248)
10. V. Cutello, G. Nicosia, and M. Pavone Exploring the capability of immune algorithms: a characterization of Hypemutation operators 3rd Int. Conf. on Artificial Immune Systems, LNCS3239 2004 263 276 (Pubitemid 39750340)
11. Q. Yu, and A. Bouguettaya Guest editorial: special section on query models and efficient selection of web services IEEE Transactions on Services Computing 3 3 2010 161 162
12. L.Z. Zeng, B. Boualem, H.H. Anne, K. Jayant, and C. Henry QoS-aware middle ware for Web Services composition IEEE Transactions on Software Engineering 30 5 2004 311 327
13. K.A. De Jong Evolutionary Computation: A Unified Approach 2007 The MIT Press
14. R. Poli, J. Kennedy, and T. Blackwell Particle swarm optimization Swarm Intelligence 1 2007 33 57
15. G. Canfora, M.D. Penta, R. Esposito, and M.L. Villani A lightweight approach for QOS-aware service composition Proc. 2nd Int. Conf. on Service Oriented Computing (ICSOC'04) 2004 36 47
16. Y. Ma, and C.W. Zhang Quick convergence of genetic algorithm for QoS-driven web service selection Computer Networks 52 5 2008 1093 1104
17. C.H. Hu, X.H. Chen, and X.M. Liang Dynamic services selection algorithm in Web services composition supporting cross-enterprises collaboration Journal of Central South University of Technology 2 2009 269 274
18. W.B. Wang, Q.B. Sun, F.C. Yang, and X.C. Zhao An improved particle swarm optimization algorithm for QoS-aware web service selection in service oriented communication International Journal of Computational Intelligence Systems 4 s 2010 18 30
19. Y. Gao, J. Na, and B. Zhang Immune algorithm for selecting optimum services in web services composition Wuhan University Journal of Natural Sciences 11 1 2006 221 225
20. E. Hart, and J. Timmis Application areas of AIS: the past, the present and the future Applied Soft Computing 8 1 2008 191 201 (Pubitemid 47374556)
21. G. Nicosia, Immune algorithms for optimisation and protein structure prediction, Ph.D. Thesis, Department of Mathematics and Computer Science, University of Catania, Italy, 2004.
22. J. Kelsey, and J. Timmis Immune inspired somatic contiguous hypermutation for function optimisation Genetic and Evolutionary Computation Conference, Lecture Notes in Computer Science 2723 2003 Springer 207 218
23. K.N. Jerne Towards a network theory of the immune system Annales of Immunology 125(C) 1974 373 389
24. X.B. Cao, H. Qiao, and Y.W. Xu Negative selection based immune optimization Advances in Engineering Software 38 2007 649 656 (Pubitemid 47043449)
25. P. Matzinger The danger model: a renewed sense of self Science 296 2002 301 305 (Pubitemid 34303674)
26. C.G. Zhang, and Y. Zhang Danger theory inspired artificial immune algorithm for on-line supervised two-class classification problem Neurocomputing 73 2010 1244 1255
27. A.F.M. Huang, C.-W. Lan, and S.J.H. Yang An optimal QoS-based web service selection scheme Information Sciences 179 2009 3309 3322
28. X.C. Zhao A perturbed particle swarm algorithm for numerical optimization Applied Soft Computing 10 1 2010 119 124