A survey of sparrow search algorithm and its applications
LI Zhengfeng
YE Wenxiao
MEI Yahang
Abstract：Sparrow search algorithm(SSA)is a new optimization algorithm with the advantages of simlicity,less parameters and fast convergence speed,which has received great attention of researchers.Achievements of sparrow algorithm in recent years are reviewed around the basic principle,improvement strategy and application of sparrow search algorithm.Firstly,the principle and steps of the sparrow search algorithm are introduced,and the performance of SSA and other algorithms in solving related functions is compared and analyzed.Secondly,the improvement method of initial population,the producers updating,the scroungers updating,the vigilances updating and disturbance strategy in SSA are analyzed and classed.Thirdly,the application of SSA is classified and discussed in power operation optimization and prediction,fault diagnosis,path optimization,shop scheduling,and parameter optimization.Finally,according to the characteristics of the sparrow search algorithm and the current research status,the future research direction of SSA is prospected.
Keywords：sparrow search algorithmchaotic mappingprobability distributionreverse learninglocal search
Publication Date：2025-08-25
Online Publishing Date：2025-09-25(First online date of this platform, not the publication date of the document)
Pages：11( 1-10,45 )