江西理工大学信息工程学院 赣州 341000
TP2
School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000
针对麻雀搜索算法易陷入局部最优解、收敛精度不足等问题，提出一种融合禁忌算法思想的改进麻雀搜索算法。首先，采用拉丁超立方抽样初始化种群，保证初始空间解分布更均匀；其次,对R2
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
欧阳城添,唐 风,朱东林.融合禁忌搜索的SSA算法及其路径规划的应用[J].电子测量技术,2022,45(22):32-40
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