摘要
本文绍了布谷鸟算法的原理,对传统布谷鸟算法进行了改进,建立多目标优化调度的数学模型,基于改进算法对模型进行一定程度的优化,通过分析证明,改进过后的算法的计算精度更高,同时能有效提高全局收敛性以及保证Pareto非劣解的多样性。
Firstly,the principle of the cuckoo algorithm is introduced,the traditional cuckoo algorithm is improved.Then,an optimized scheduling model with the goal of minimum power generation cost and minimum emission of polluted gas is established,and the improved algorithm is used to optimize the scheduling model.The results show that the improved algorithm has better optimization speed and accuracy,and can Effectively improve the global convergence and ensure the diversity of Pareto's noninferior solutions.
作者
谭卓然
TAN Zhuoran(College of Electrical Engineering&Renewable Energy,China Three Gorges University,Hubei Yichang 443000,China)
出处
《电工材料》
CAS
2021年第2期28-30,共3页
Electrical Engineering Materials
关键词
布谷鸟算法
多目标优化
电力系统
cuckoo algorithm
optimal scheduling
communication operator
