欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
为了提高粒子群优化（Particle Swarm Optimization,PSO）算法的计算精度和计算效率,避免＂早熟＂,提出了育种粒子群优化算法（Breeding-based Particle Swarm Optimization,BBPSO）。该算法模型将育种算法和PSO算法有机结合,构建双群体搜索机制,既利用PSO算法的快速演化能力,又利用育种算法模型中的繁殖操作增加群体多样性。将该算法模型应用于梯级水电站发电最优调度中,仿真结果表明,和标准PSO算法相比,BBPSO具有更好的全局寻优能力和较快的收敛速度,能有效应用于梯级电站发电联合优化调度中。
英文摘要：
To improve the accuracy and efficiency and avoid premature of patti an algorithm of breeding-based PSO（BBPSO） is proposed. By integrating the the algorithm has a population diversity, dual group search and application to mechanism that eliminates the short cascade hydropower stations shows a b cle swarm optimization （PSO） , Breeding and PSO techniques, comings of PSO and improves etter efficiency and accuracy.
同期刊论文项目
同项目期刊论文
A new method for automatically identifying the shaft orbit moving direction of hydroelectric generat
Using fuzzy theory and information entropy for water quality assessment in Three Gorges region, Chin
Design of PID parameters self-tuning fuzzy control system and its application in hydroelectric syste
Research on spot power market equilibrium model considering the electric power network characteristi
期刊信息
位置：