QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
QoS Aggregation for Web Service Composition using Workflow Patterns
EDOC '04 Proceedings of the Enterprise Distributed Object Computing Conference, Eighth IEEE International
QoS Aggregation in Web Service Compositions
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
Drift and Scaling in Estimation of Distribution Algorithms
Evolutionary Computation
Heuristics for QoS-aware Web Service Composition
ICWS '06 Proceedings of the IEEE International Conference on Web Services
Discovering the best web service
Proceedings of the 16th international conference on World Wide Web
Adaptive Service Composition in Flexible Processes
IEEE Transactions on Software Engineering
Investigating web services on the world wide web
Proceedings of the 17th international conference on World Wide Web
An End-to-End Approach for QoS-Aware Service Composition
EDOC '09 Proceedings of the 2009 IEEE International Enterprise Distributed Object Computing Conference (edoc 2009)
Statistical analysis of the main parameters involved in the designof a genetic algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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QoS model of composite services and Web services selection based on QoS are currently the hot issues in the web service composition area. Services selection based on QoS, which is a global optimal selection issue, has been proved a NP-HARD problem. Takes engine into account, this paper builds the QoS model of service selection in the Web composite services, uses the estimation of distribution algorithm to solve the NP-HARD problem of services selection, and presents a Web services selection method based on the UMDA. Example analysis and experimental analysis based on the UMDA method are performed; it's proved that the method is effective in solving the NP-HARD problem of Web services selection.