Distributed and Parallel Databases
Unraveling the Web Services Web: An Introduction to SOAP, WSDL, and UDDI
IEEE Internet Computing
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Declarative Composition and Peer-to-Peer Provisioning of Dynamic Web Services
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
QoS computation and policing in dynamic web service selection
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Interactive selection of Web services under multiple objectives
Information Technology and Management
Survey: A survey on search-based software design
Computer Science Review
Search-based software engineering: Trends, techniques and applications
ACM Computing Surveys (CSUR)
Ant-based service selection framework for a smart home monitoring environment
Multimedia Tools and Applications
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Web services composition has been one of the hottest research topics. But with the ever increasing number of functional similar web services being made available on the Internet, there is a need to be able to distinguish them using a set of well-defined Quality of Service (QoS) criteria. The cost is the primary concern of many business processes. In this paper, we propose a new solution using Genetic Algorithm (GA) in cost-driven web service selection. GA is utilized to optimize business process composed of many service agents (SAg). Each SAg corresponds to a collection of available web services provided by multiple service providers to perform a specific function. Service selection is an optimization process with taking into account the relationships among the services. Better performance has been gotten using GA in the paper than using local service selection strategy. The global optimal solution might also be achieved with proper GA parameters.