A collaborative service group-based fuzzy QoS-aware manufacturing service composition using an extended flower pollination algorithm

摘要

Quality of service (QoS)-aware manufacturing service composition has attracted growing attention from experts and scholars. However, most of them ignore the fuzziness and complexity of QoS values and describe QoS values using precise numbers. In addition, a one-to-one mapping-based service composition method has been widely used making it difficult to obtain an optimal solution with higher QoS values. In this study, we construct a new collaborative service group-based fuzzy QoS-aware (CSGFQ) manufacturing service composition model, which not only expands the traditional one-to-one mapping-based relationship between services and subtasks, but also objectively describes QoS values using fuzzy numbers. An extended flower pollination algorithm (FPA) that embeds four improvements is presented to solve the corresponding model. Four groups of experiments are performed to compare our proposed method with other baseline algorithms to prove the practicality, effectiveness, efficiency, and other performance of the extended FPA in solving the CSGFQ service composition problem.