摘要
阐述一种基于智能算法的供热系统优化控制方法,探讨利用智能算法,如遗传算法、粒子群算法和神经网络算法,对供热系统进行优化过程控制,包括系统建模、算法设计、仿真及实验验证。
This paper describes an intelligent algorithm based optimization control method for heating systems,exploring the use of intelligent algorithms such as genetic algorithm,particle swarm optimization algorithm,and neural network algorithm to optimize the process control of heating systems,including system modeling,algorithm design,simulation,and experimental verification.
作者
李琨峰
LI Kunfeng(Taiyuan Thermal Power Group Co.,Ltd.,Shanxi 030027,China)
出处
《电子技术(上海)》
2024年第6期294-295,共2页
Electronic Technology
关键词
智能算法
供热系统
优化控制
遗传算法
粒子群算法
intelligent algorithm
heating system
optimization control
genetic algorithm
particle swarm algorithm