A Multi-Objective Evolutionary Algorithm to Optimize the Dynamic Composition of Semantic Web Services
نویسندگان
چکیده
Optimization of dynamic composition of web service is helpful to answer user-request in a dynamic environment. However, it addresses multiple problems such as heterogeneity of service descriptions, request interpretation and decomposition, automatic service discovery. To keep the robust and best compositions of Web services, we consider them in a resolution process which uses the Multi-Objective Evolutionary Algorithm (MOEA). This paper presents a MOEA which aims to solve not only the problem of dynamic composition optimization but also to ensures optimum results even if the system undergoes dynamic changes in terms of data and service availability over execution time.
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تاریخ انتشار 2010