A Spiral Update Sine Cosine Algorithm
TANG Junjie
WANG Lianguo
Abstract：Aiming at the problems of basic sine cosine algorithm with low convergence accuracy,easy to fall into local optimal-ity,and slow convergence speed when processing function optimization problems,a sine cosine algorithm for spiral update is pro-posed.First,non-linear adjustment of parameters to balance global exploration and local development abilities.Secondly,the spiral update strategy is used to improve the original algorithm search method,improve the optimization accuracy,enhance the global ex-ploration ability,and prevent falling into local optimization.Finally,greedy selection and Gaussian mutation strategy are adopted to improve the convergence speed and the optimization accuracy.The simulation experiment is carried out by using 23 basic test func-tions and compared with several other algorithms,and the experimental results show that the improved algorithm had high optimiza-tion performance.
Keywords：Sine Cosine Algorithm(SCA)Whale Optimization Algorithm(WOA)nonlinearspiral update strategygreedy choiceGaussian variation
Publication Date：2024-09-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 2583-2589 )