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S-ABC: A paradigm of service domain-oriented artificial bee colony algorithms for service selection and composition.

, , , , , and . Future Generation Comp. Syst., (2017)

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Efficient pattern matching with periodical wildcards in uncertain sequences., , , , and . Intell. Data Anal., 22 (4): 829-842 (2018)Analyzing the Influence of Domain Features on the Optimality of Service Composition Algorithm., , , and . SCC, page 427-434. IEEE Computer Society, (2015)S-ABC: A paradigm of service domain-oriented artificial bee colony algorithms for service selection and composition., , , , , and . Future Generation Comp. Syst., (2017)A Scalable Mechanism for Semantic Service Discovery in Multi-ontology Environment., , and . GPC, volume 4459 of Lecture Notes in Computer Science, page 136-145. Springer, (2007)Large Scale Computing on Component Based Framework Easily Adaptive to Cluster and Grid Environments., , , , and . ChinaGrid, page 70-77. IEEE Computer Society, (2008)Applications of the Pipeline Environment for Visual Informatics and Genomics Computations., , , , , , , , , and 5 other author(s). BMC Bioinformatics, (2011)An Intelligent Admission Control Framework for Composite Services., and . ICWS, page 696-697. IEEE Computer Society, (2014)S-ABC - A Service-Oriented Artificial Bee Colony Algorithm for Global Optimal Services Selection in Concurrent Requests Environment., and . ICWS, page 503-509. IEEE Computer Society, (2014)Deferred virtual machine migration., , , and . IJHPCN, 14 (2): 229-236 (2019)Visual mining of neuro-metaspaces., , , , , , and . SIGGRAPH Posters, page 152:1. ACM, (2010)