ArticleScientific reports2022
Optimization of complex engineering problems using modified sine cosine algorithm.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Recent metaheuristic algorithms for solving some civil engineering optimization problems.Scientific reports · 2025Article
- Gorilla optimization algorithm combining sine cosine and cauchy variations and its engineering applications.Scientific reports · 2024Article
- Article
- Optimal placement criteria of hybrid mounting system for chassis in future mobility based on beam-type continuous smart structures.Scientific reports · 2023Article
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Authors and funding
3 authors.
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Abstract
In this article, a modified version of the Sine Cosine algorithm (MSCA) is proposed to solve the optimization problem. Based on the Sine Cosine algorithm (SCA), the position update formula of SCA is redefined to increase the convergence speed, then the Levy random walk mutation strategy is adopted to improve the population diversity. In order to verify the performance of MSCA, 24 well-known classical benchmark problems and IEEE CEC2017 test suites were introduced, and by comparing MSCA with several popular methods, it is demonstrated that MSCA has good convergence and robustness. Finally, MSCA is used to address six complex engineering design problems, demonstrating the engineering utility of the algorithm.
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Registered trials
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