计算机与数字工程2026，Vol.54Issue(1)：7-12,6.DOI:10.3969/j.issn.1672-9722.2026.01.002
一种自适应t分布扰动策略的粒子群算法
A Particle Swarm Optimization Algorithm with Adaptive t-distribution Perturbation Strategy
摘要
Abstract
Aiming at the shortcomings that the basic particle swarm optimization algorithm is easy to fall into local optimiza-tion and the convergence speed is too slow in the process of optimization iteration,a particle swarm optimization algorithm with adap-tive t-distribution perturbation strategy is designed.Firstly,the inertia weight is adaptively adjusted according to the number of iter-ations and particle fitness,and the asymmetric learning factor is used to adjust the particle search process.Then,the adaptive t-dis-tribution perturbation strategy is introduced to perturb the position of the optimal solution to produce a new solution,so as to im-prove the diversity of the search space.Simulation results show that the improved particle swarm optimization algorithm has im-proved the convergence speed,convergence accuracy and the ability to get out of local optimization,and it has good robustness.关键词
粒子群算法/自适应t分布扰动/收敛速度/收敛精度Key words
particle swarm optimization/adaptive t-distribution disturbance/convergence speed/convergence accuracy分类
信息技术与安全科学引用本文复制引用
张新鑫,王宏智..一种自适应t分布扰动策略的粒子群算法[J].计算机与数字工程,2026,54(1):7-12,6.基金项目
山东省社会科学规划研究项目(编号:18CGLJ35) （编号:18CGLJ35）
青岛市社会科学科规划项目(编号:QDSKL1901168)资助. （编号:QDSKL1901168）
