Selecting the optimal web service composition based on a multi-criteria bee-inspired method
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
Towards robust service compositions in the context of functionally diverse services
Proceedings of the 21st international conference on World Wide Web
Optimising the semantic web service composition process using bio-inspired methods
International Journal of Bio-Inspired Computation
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Considering that there are three aspects of constrains in the service selection process, such as control structure within a composition plan, relationship between concrete services, and tradeoff among multiple QoS indexes, a QoS based optimal Web services selection method by multi-objective genetic algorithm is presented. First we design a chromosome coding method to represent a feasible service selection solution, and then develop genetic operators and strategies for maintaining diversity of population and avoiding getting trapped in local optima. Experimental results show that within a finite number of evolving generations this algorithm can generate a set of nondominated Pareto optimal solutions which satisfy to user's QoS requirements.