Optimal Chiller Loading for Energy Conservation Using an Improved Fruit Fly Optimization Algorithm

Autor: Min-Yong Qi, Jun-Qing Li, Yu-Yan Han, Jin-Xin Dong

Publikováno v: Energies, Vol 13, Iss 15, p 3760 (2020)

In the multi-chiller of the air conditioning system, the optimal chiller loading (OCL) is an important research topic. This research is to find the appropriate partial load ratio (PLR) for each chiller in order to minimize the total energy consumptio

Externí odkaz: https://doaj.org/article/f2d1a05bc04c4375aae05a391abd423d

A Developed NSGA-II Algorithm for Multi-objective Chiller Loading Optimization Problems

Autor: Peiyong Duan, Yong Wang, Hongyan Sang, Cun-gang Wang, Min-yong Qi, Junqing Li

Publikováno v: Intelligent Computing Theories and Application ISBN: 9783319422909
ICIC (1)

During recent years, for its simplicity and efficiency, the non-dominated-sorting algorithm (NSGA-II) has been widely applied to solve multi-objective optimization problems. However, in the canonical NSGA-II, the resulted population may have multiple

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::38e31facffe5838455fa7eaf40300d03
https://doi.org/10.1007/978-3-319-42291-6_49

FrontMatter.

Publikováno v: Intelligent Computing Theories & Application: 12th International Conference, ICIC 2016, Lanzhou, China, August 2-5, 2016, Proceedings, Part I; 2016, pI-XX, 20p