Oppositional salp swarm algorithm with mutation operator for global optimization and application in training higher order neural networks-Reference-Cited by-同舟云学术

Oppositional salp swarm algorithm with mutation operator for global optimization and application in training higher order neural networks

Published:2021-01-09 Issue:28-29 Volume:80 Page:35415-35439
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Panda Nibedan^ORCID,Majhi Santosh Kumar

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-020-10304-x.pdf

Reference55 articles.

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3. Ahmed S, Mafarja M, Faris H, Aljarah I (2018) Feature selection using salp swarm algorithm with chaos. In Proceedings of the 2nd International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (pp. 65-69). ACM

4. Asaithambi S, Rajappa M (2018) Swarm intelligence-based approach for optimal design of CMOS differential amplifier and comparator circuit using a hybrid salp swarm algorithm. Review of Scientific Instruments 89(5):054702

5. Bache K, Lichman M (2013) UCI machine learning repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California. School of information and computer science, 28

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