Apache Spark Implementation of Whale Optimization Algorithm

Author:

AlJame Maryam,Ahmad Imtiaz,Alfailakawi MohammadORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference43 articles.

1. Abd El Aziz, M., Ewees, A.A., Hassanien, A.E.: Whale optimization algorithm and moth-flame optimization for multilevel thresholding image segmentation. Expert Syst. Appl. 83, 242–256 (2017)

2. Alnafessah, A., Casale, G.: Artificial neural networks based techniques for anomaly detection in apache spark. Clust. Comput. 23, 1361–1362 (2020)

3. Barba-Gonzaléz, C., García-Nieto, J., Nebro, A.J., Aldana-Montes, J.F.: Multi-objective big data optimization with jmetal and spark. In: Proceedings of the International Conference on Evolutionary Multi-Criterion Optimization, pp. 16–30. Springer (2017)

4. Chen, H., Hu, Z., Han, L., Hou, Q., Ye, Z., Yuan, J., Zeng, J.: A spark-based distributed whale optimization algorithm for feature selection. In: Proceedings of the 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), vol. 1, pp. 70–74. IEEE (2019)

5. Cheraghchi, F., Iranzad, A., Raahemi, B.: Subspace selection in high-dimensional big data using genetic algorithm in apache spark. In: Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing, pp. 1–7 (2017)

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