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Web services are rapidly changing the landscape of software engineering. One of the most important technologies introduced by them is Web service composition (WSC). This paper proposes a rule-based service composition framework that supports user requirements and predefined business rules very well. The selection engine uses a multiobjective non-dominated sorting genetic algorithm (NSGA-II) which generates a set of Pareto optimal solutions that provides service consumers wider choices and thus helps increasing the decision support ability. Several experiments have been performed to simulate the selection algorithm and results show that it is effective, efficient and provides a new rule-based mechanism for service composition.