Journal
APPLIED SOFT COMPUTING
Volume 12, Issue 8, Pages 2208-2216Publisher
ELSEVIER
DOI: 10.1016/j.asoc.2012.03.040
Keywords
Immune optimization; Particle swarm optimization; Web service; Quality of Service
Categories
Funding
- National Natural Science Foundation of China [61105127, 61070207, 11171040]
- Program for New Century Excellent Talents in University [NCET-10-0263]
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An improved discrete immune optimization algorithm based on particle swarm optimization (IDIPSO) is proposed for Quality of Service (QoS)-driven web service composition with global QoS constraints. A series of effective strategies are presented for this problem, which include an improved local best first strategy based on mathematical analysis for candidate service selection, a perturbing global best strategy along the global best particle. The improved local best first strategy has equivalent effects on the local fitness of a candidate service and the fitness of a composite web service. Empirical comparisons with recently proposed algorithms on various scales of composite web service instances with global QoS constraints indicate that IDIPSO is highly competitive in terms of powerful searching capability, high stability and well trade-off between population diversity and selection pressure, especially when the size of the composite web service problem is large. (C) 2012 Elsevier B. V. All rights reserved.
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