A hybrid optimized multi-population flower pollination algorithm for web service composition problem

Danni Lv; Lijuan Zhou; Ning Luo

doi:10.1117/12.2667493

28 March 2023 A hybrid optimized multi-population flower pollination algorithm for web service composition problem

Danni Lv, Lijuan Zhou, Ning Luo

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 1256641 (2023) https://doi.org/10.1117/12.2667493
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

With the rapid development of Service-Oriented Computing (SOC), Web services have become the preferred technology for realizing Service-oriented computing problems and other related goals. How to find a cheap and high-quality Web service composition from a large number of Web services that provide the same function, that is, the research based on Quality of Service (QoS) is the most important problem in the Web service composition optimization model, which is also very important to improve the efficiency of the service composition. In this work, we use the intelligence optimization algorithms to search for the best combination of web services to achieve the functionality of the workflow’s tasks. And we propose a novel approach, called A Hybrid Optimized Multi-Population Flower Pollination Algorithm (AHOMFPA) to solve this problem. Empirical comparisons demonstrate AHOMFPA has advantages over other existing algorithms in efficiency and feasibility.

Citation Download Citation

Danni Lv, Lijuan Zhou, and Ning Luo "A hybrid optimized multi-population flower pollination algorithm for web service composition problem", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 1256641 (28 March 2023); https://doi.org/10.1117/12.2667493

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