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2025, Vol. 10, Issue 2, Part A

Spider monkey optimization (SMO): A study and some applications


Author(s): RK Shrivastava and Neha Sharma

Abstract:
Researchers have recently turned their attention to nature-inspired algorithms that are based on the behaviours of insects, animals, and other creatures. These algorithms have shown promise in solving challenging optimization problems in the real world. The spider monkey optimization (SMO) technique is one of the most well-known algorithms.
SMO and its modified forms have proven effective in addressing certain problems in a variety of computer networking domains, including biomedical, agricultural, and telecommunication. We create spider monkey optimization and its different applications in this study.


DOI: 10.22271/maths.2025.v10.i2a.1971

Pages: 16-19 | Views: 35 | Downloads: 1

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International Journal of Statistics and Applied Mathematics
How to cite this article:
RK Shrivastava, Neha Sharma. Spider monkey optimization (SMO): A study and some applications. Int J Stat Appl Math 2025;10(2):16-19. DOI: 10.22271/maths.2025.v10.i2a.1971

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International Journal of Statistics and Applied Mathematics