Multi-objective optimization for energy consumption, daylighting and thermal comfort performance of rural tourism buildings in north China

2020 ◽  
Vol 176 ◽  
pp. 106841 ◽  
Author(s):  
Li Zhu ◽  
Binghua Wang ◽  
Yong Sun
2014 ◽  
Vol 1046 ◽  
pp. 508-511
Author(s):  
Jian Rong Zhu ◽  
Yi Zhuang ◽  
Jing Li ◽  
Wei Zhu

How to reduce energy consumption while improving utility of datacenter is one of the key technologies in the cloud computing environment. In this paper, we use energy consumption and utility of data center as objective functions to set up a virtual machine scheduling model based on multi-objective optimization VMSA-MOP, and design a virtual machine scheduling algorithm based on NSGA-2 to solve the model. Experimental results show that compared with other virtual machine scheduling algorithms, our algorithm can obtain relatively optimal scheduling results.


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