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A Hybrid Approach for the Multi-constraint Web Service Selection Problem in Web Service Composition |
Zhongjun Liang, Hua Zou, Fangchun Yang, Rongheng Lin |
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Abstract Web service selection is a critical procedure for building a new
composite Web service. To find the best services from the candidate
services, both the QoS requirements and the relational constraint
rules between services should be considered in the selection.
However, most existing researches on Web service selection are
focusing on the service's QoS, which may lead to the invalid of the
composite service. Hence, we formulate the multi-constraint Web
service selection problem in Web service composition, and propose a
hybrid approach to solve it. We first construct the fixed tabu list
to record infeasible combinations, and then utilize a hybrid
particle swarm optimization algorithm to search a solution among the
feasible combinations. The experimental results indicate the
effectiveness of our approach.
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