A QoS-oriented Web service composition approach based on multi-population genetic algorithm for Internet of things

Author:

Li Qian,Dou Runliang,Chen Fuzan,Nan Guofang

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,General Computer Science

Cited by 33 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An approach based on genetic algorithms and neural networks for QoS-aware IoT services composition;Journal of King Saud University - Computer and Information Sciences;2022-09

2. An e-Business Services Composition Framework;2022 14th International Conference on Communications (COMM);2022-06-16

3. Security and privacy issues in smart cities/industries: technologies, applications, and challenges;Journal of Ambient Intelligence and Humanized Computing;2022-02-03

4. A GA-based approach with an interval VIKOR method for solving the constrained QoS-aware service composition in dynamic IoT environments;International Journal of Web and Grid Services;2022

5. QOS-Aware IOT Services Composition: A Survey;Distributed Sensing and Intelligent Systems;2022

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