Abstract
To optimize the web services selection process, a method based on binary particle swarm optimization (BPSO) for recommending web services was proposed. The process composition, based on quality of service (QoS), was mathematically described and transformed into service composition. The formulas for calculating the QoS attributes in different service compositions were provided. Each service composition in the nested format was traversed by introducing the web services sets and nested formats. Treated as a multi-objective optimization decision problem, QoS-based web services selection was simplified by weighted summation. Finally, the web services recommendation simulation system was developed based on the improved BPSO. Three experiments demonstrate the proposed method is feasible and effective.
| Original language | English |
|---|---|
| Pages (from-to) | 49-55 |
| Number of pages | 7 |
| Journal | Shenzhen Daxue Xuebao (Ligong Ban)/Journal of Shenzhen University Science and Engineering |
| Volume | 27 |
| Issue number | 1 |
| State | Published - Jan 2010 |
Keywords
- Binary particle swarm optimization(BPSO)
- Computer application
- Multi-objective optimization
- Quality of service (QoS) attributes
- Web services
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