摘要
以电力自动调度为对象,提出了一种基于蚁群算法和粒子群算法的改进蚁群算法,该算法在分析了蚁群算法优缺点的基础上,通过利用粒子群算法得到蚁群算法重要参数值,从而达到提升算法性能的目的。通过仿真实验证明,提出的改进蚁群算法模型具有可行性,并且在性能方面优于粒子群算法和蚁群算法。
Take power automatic scheduling as the object,an improved ant colony algorithm based on ant colony and particle group algorithm,which based on the advantages and disadvantages of ant algorithm is proposed,important parameter values of the ant colony algorithm are obtained by using the particle colony algorithm,so as to achieve the purpose of improving the algorithm performance.As proved by simulation experiments,the proposed improved ant swarm algorithm model is feasible and outperforms the particle swarm and ant swarm algorithms in terms of performance.
作者
谭振鹏
邓智广
Tan Zhenpeng;Deng Zhiguang(Foshan Power Supply Bureau,Guangdong Power Grid Co.,Ltd.,Foshan 528000,China)
出处
《粘接》
CAS
2021年第11期88-91,共4页
Adhesion
关键词
电力自动调度
蚁群算法
粒子群算法
模型构建
automatic power scheduling
ant colony algorithm
particle colony algorithm
model construction