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Service-Oriented Applications (SOA) are being regarded as the main pragmaticsolution for distributed environments. In such systems, however each serviceresponds the user request independently, it is essential to compose them fordelivering a compound value-added service. Since, there may be a number ofcompositions to create the requested service, it is important to find one whichits properties are close to user's desires and meet some non-functionalconstraints and optimize criteria such as overall cost or response time. Inthis paper, a user-centric approach is presented for evaluating the servicecompositions which attempts to obtain the user desires. This approach usesfuzzy logic in order to inference based on quality criteria ranked by user andGenetic Algorithms to optimize the QoS-aware composition problem. Results showthat the Fuzzy-based Genetic algorithm system enables user to participate inthe process of web service composition easier and more efficient.

User-Centric Optimization for Constraint Web Service Composition using a Fuzzy-guided Genetic Algorithm System