Ouyang Chengtian
School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000Tang Feng
School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000Zhu Donglin
School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000
TP2
Aiming at the problem that the sparrow search algorithm is easy to fall into the local optimum and the con-vergence accuracy is insufficient, this paper proposes an improved sparrow search algorithm based on tabu search algorithm. Firstly, Latin hypercube sampling is used to initialize the population to ensure a more uniform distribution of initial spatial solutions; secondly, the time-varying Cauchy mutation operator is introduced to optimize the discoverer search strategy when R2
