NDLI: Research on optimization algorithm wind quantity distribution in ventilation networks based on generic algorithm

Content Provider	IEEE Xplore Digital Library
Author	She Xiangyang Sun Yizhen
Copyright Year	2010
Description	Author affiliation: College of Computer Science and Technology, Xian University of Science and Technology, China, 710054 (Sun Yizhen) \|\| Key Laboratory of Western Mine Exploitation and Hazard Prevention of Ministry of Education, Xian University of Science and, Technology , China, 710054 (She Xiangyang)
Abstract	The model of mixing ventilation networks optimization is generalized, the ventilation volume distribution optimization model of min ventilation networks is sumed up,according to the two step way that includes ventilation volume distribution optimization and ventilation pressure adjusting optimization. The adjacency matrix of dynamic networks and the ventilation volume value of remaining tree branchs are initialized on random according to genetic algorithm theoretics. the minimum spanning tree of dynamic network is searched by the way of minimum spanning tree algorithm confined in conditions, independence circuit matrix are calculated, and then the volume of tree branch ventilation are calculated by decoding and circuit matrix. The generalized aim function are set up on the sum ventilation power and the restriction conditions that the ventilation resistance of the access from in-well to out well is equal to or less than the access fan pressure,the ventilation volume distribution schemes are judged by the generalized aim function, the schemes codes are evolved by genetic operator. Finally, the satisfaction ventilation volume distribution schemes is attained by iterative. ? The algorithm reduces the complexity to solve mixing ventilation networks optimization problem by the two step way. ? The algorithm reduces variable number in the mode,making use of the node in-flow and out-flow balance restriction,is good at efficiency.
Starting Page	154
Ending Page	158
File Size	376923
Page Count	5
File Format	PDF
ISBN	9781424477050
e-ISBN	9781424477067
DOI	10.1109/CINC.2010.5643869
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Atmospheric modeling Roads Ventilation Optimization
Content Type	Text
Resource Type	Article

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