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

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. (1) The algorithm reduces the complexity to solve mixing ventilation networks optimization problem by the two step way. (2) The algorithm reduces variable number in the mode, making use of the node in-flow and out-flow balance restriction, is good at efficiency.