Solving chiller loading optimization problems using an improved teaching-learning-based optimization algorithm-Reference-Cited by-同舟云学术

Solving chiller loading optimization problems using an improved teaching-learning-based optimization algorithm

Author:

Duan Pei-yong¹,Li Jun-qing²³^ORCID,Wang Yong²,Sang Hong-yan²,Jia Bao-xian²

Affiliation:

1. School of Information; Shandong Normal University; Jinan PR China

2. College of Computer Science; Liaocheng University; Liaocheng PR China

3. State Key Laboratory of Synthetic Automation for Process Industries; Northeastern University; Shenyang PR China

Funder

National Natural Science Foundation of China

State Key Laboratory of Synthetical Automation for Process Industries

Publisher

Wiley

Subject

Applied Mathematics,Control and Optimization,Software,Control and Systems Engineering

Reference35 articles.

Cited by 72 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

3. Optimization in Chiller Loading Operation Using Genetic Algorithm;2024 IEEE Symposium on Industrial Electronics & Applications (ISIEA);2024-07-06