Optimal design of high-rise building wiring based on ant colony optimization

被引:8
作者
Liu, Chunjiang [1 ]
机构
[1] Changan Univ, Sch Econ & Management, Xian 710064, Shaanxi, Peoples R China
来源
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS | 2019年 / 22卷 / 02期
关键词
Ant colony optimization; High-rise building; Wiring optimization; Load calculation;
D O I
10.1007/s10586-018-2195-y
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the continuous acceleration of the building process of urban modernization in China, the scale of buildings continues to expand, and more and more information equipment and electrical equipment are applied to high-rise buildings, which brings new challenges to the design of electricity for high-rise buildings. In order to ensure the normal operation of electric equipment and choose the reasonable electricity consumption and reduce the cost of investment and maintenance, it is necessary to discuss the wiring optimization problems of high-rise buildings. Therefore, this paper chooses the ant colony optimization to optimize the wiring design of the electrical equipment of the building intelligently. Based on the biological model of ant colony optimization, the traditional ant colony optimization is improved, and the ant colony optimization is proposed in the continuous space optimization problem. It optimizes the routing path of high-rise buildings by simulating the shortest path of the ant colony to find food. The computing results of power parameters show that, the improved ant colony optimization model proposed in this paper can shorten the length of high-rise building wiring, the control of voltage drop, line loss and other power parameters can improve the economic benefit of the algorithm, and it is feasible in the optimization of high-rise building wiring.
引用
收藏
页码:S3479 / S3486
页数:8
相关论文
共 26 条
[1]   Improved WIMP-search reach of the CDMS II germanium data [J].
Agnese, R. ;
Anderson, A. J. ;
Asai, M. ;
Balakishiyeva, D. ;
Barker, D. ;
Thakur, R. Basu ;
Bauer, D. A. ;
Billard, J. ;
Borgland, A. ;
Bowles, M. A. ;
Brandt, D. ;
Brink, P. L. ;
Bunker, R. ;
Cabrera, B. ;
Caldwell, D. O. ;
Calkins, R. ;
Cerdeno, D. G. ;
Chagani, H. ;
Chen, Y. ;
Cooley, J. ;
Cornell, B. ;
Crewdson, C. H. ;
Cushman, P. ;
Daal, M. ;
Di Stefano, P. C. F. ;
Doughty, T. ;
Esteban, L. ;
Fallows, S. ;
Figueroa-Feliciano, E. ;
Godfrey, G. L. ;
Golwala, S. R. ;
Hall, J. ;
Harris, H. R. ;
Hertel, S. A. ;
Hofer, T. ;
Holmgren, D. ;
Hsu, L. ;
Huber, M. E. ;
Jardin, D. ;
Jastram, A. ;
Kamaev, O. ;
Kara, B. ;
Kelsey, M. H. ;
Kennedy, A. ;
Kiveni, M. ;
Koch, K. ;
Leder, A. ;
Loer, B. ;
Lopez Asamar, E. ;
Lukens, P. .
PHYSICAL REVIEW D, 2015, 92 (07)
[2]  
[Anonymous], 2017, P 2017 IEEE WIR COMM, DOI DOI 10.1109/WCNC.2017.7925706
[3]  
Atia DY, 2016, IEEE C EVOL COMPUTAT, P4159, DOI 10.1109/CEC.2016.7744318
[4]   Research and Development of Nb3Sn Wires and Cables for High-Field Accelerator Magnets [J].
Barzi, Emanuela ;
Zlobin, Alexander V. .
IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2016, 63 (02) :783-803
[5]   Wind-induced response control model for high-rise buildings based on resizing method [J].
Choi, Se Woon ;
Seo, Ji Hyun ;
Lee, Hong Min ;
Kim, Yousok ;
Park, Hyo Seon .
JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, 2015, 21 (02) :239-247
[6]   Optimization of Nb3Sn Rutherford Cables Geometry for the High-Luminosity LHC [J].
Fleiter, Jerome ;
Ballarino, Amalia ;
Bonasia, Angelo ;
Bordini, Bernardo ;
Richter, David .
IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2017, 27 (04)
[7]  
Ge S, 2017, SHANXI ARCHIT, V32, P120
[8]  
Ilin K., 2015, SUPERCOND SCI TECH, V28, P263
[9]   Optimized forest degradation model (OFDM): an environmental decision support system for environmental impact assessment using an artificial neural network [J].
Jahani, Ali ;
Feghhi, Jahangir ;
Makhdoum, Majid F. ;
Omid, Mahmoud .
JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT, 2016, 59 (02) :222-244
[10]  
Jiao K, 2016, BUILD STRUCT, V54, P15