Swarm intelligence optimization algorithm is a stochastic optimization algorithm. It is a meta-
heuristic algorithm inspired by the self-optimization phenomenon of biological group …

Aimed at the problem that when the Sparrow Search Algorithm (SSA) is close to the global
optimum, the population diversity decreases, and it is easy to fall into the local optimal …

Aiming at the problems of the basic sparrow search algorithm (SSA) in terms of slow
convergence speed and the ease of falling into the local optimum, the chaotic mapping …

The sparrow search algorithm (SSA) is a metaheuristic algorithm developed based on the
foraging and anti-predatory behavior of sparrow populations. Compared with other …

为了解决麻雀搜索算法存在迭代后期搜索多样性不足, 容易陷入局部最优等问题,
提出了一种基于莱维飞行扰动策略的改进麻雀搜索算法. 首先借鉴Sin 混沌搜索机制 …

为了有效改善萤火虫算法对初始解依赖性, 迭代后期收敛速度较慢以及搜索精度不高等问题,
提出一种基于T ent 混沌映射的萤火虫优化算法. 该算法将混沌优化思想应用到萤火虫算法中 …

The sparrow search algorithm has attracted much attention due to its excellent
characteristics, but it still has shortcomings such as falling into the local optimum and relying …

To address the problems that the sparrow search algorithm is prone to fall into local
extremum points in the early stage and not high accuracy in the later stage of the search, an …