2025, Vol. 6, Issue 1, Part A
Spider monkey optimization (SMO) algorithm: An application in traffic delay problem
Author(s): Neha Sharma and RK Shrivastava
Abstract: In recent times, nature inspired algorithms have achieved adding fashion ability among inquiries in different fields of the exploration. Experimenters having the capability to search and discover results and results to real world optimization problems. These algorithms have borrowed at addressing complex real- world optimization ways. Out of these optimization ways spider monkey optimization (SMO) algorithm inspired by the spider monkeys. Spider monkey optimization (SMO) and its acclimated performances have gained issues in different sphere similar as Engineering, lores, Biomedical, Agriculture, Computer networking and Telecommunications, SMO is one of the most recent swarn Intelligence (SI) grounded algorithm, which was developed through the study of good rustling geste of a group of spider monkeys that mimic the fission- Fusion Social System (FFSS) geste.In the present work we develop spider monkey optimization (SMO) to the business detention minimization problem, and minimizing the total trip time. A comparison to the Artificial Bee Colony (ABC) algorithm. Spider Monkey Optimization (SMO) and ABC algorithms are compared as these algorithms performed its decentralized stochastic and vend organizational trait that makes it sufficiently suitable for the nature of business networks.crucial word Nature Inspired Algorithm, Spider Monkey Optimization(SMO) algorithm, Artificial Bee Colony(ABC) Optimization, business detention problem Swarn Intelligence(SI), Fission - Fusion social geste, stochastic.
DOI: https://doi.org/10.22271/math.2025.v6.i1a.177
Pages: 56-62 | Views: 123 | Downloads: 40
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How to cite this article:
Neha Sharma and RK Shrivastava. Spider monkey optimization (SMO) algorithm: An application in traffic delay problem. Journal of Mathematical Problems, Equations and Statistics. 2025; 6(1): 56-62. DOI: 10.22271/math.2025.v6.i1a.177
