A mathematical model for optlmization design of the hot waxy crude oil transmission IZipelineis studied. The dimension-reducing method is selected to solve problems raised from multivariable,restricted and non-linear ...A mathematical model for optlmization design of the hot waxy crude oil transmission IZipelineis studied. The dimension-reducing method is selected to solve problems raised from multivariable,restricted and non-linear planning. And the optimization design model is applied to the practical design ofHejian Shijiazhuang oil transmission pipeline. outstanding economic and social benefits have beengained.展开更多
This study investigated a water supply recovery problem involving municipal water service piping. The problem consisted in recovering full service after network failure, in order to rapidly satisfy all urgent citywide...This study investigated a water supply recovery problem involving municipal water service piping. The problem consisted in recovering full service after network failure, in order to rapidly satisfy all urgent citywide demands. The optimal recovery solution was achieved through the application of so-called network design problems （NDPs）, which are a form of combinatorial optimization problem. However, a conventional NDP is not suitable for addressing urgent situations because （1） it does not utilize the non-failure arcs in the network, and （2） it is solely concerned with stable costs such as flow costs. Therefore, to adapt the technique to such urgent situations, the conventional NDP is here modified to deal with the specified water supply problem. In addition, a numerical illustration using the Sendai water network is presented.展开更多
文摘A mathematical model for optlmization design of the hot waxy crude oil transmission IZipelineis studied. The dimension-reducing method is selected to solve problems raised from multivariable,restricted and non-linear planning. And the optimization design model is applied to the practical design ofHejian Shijiazhuang oil transmission pipeline. outstanding economic and social benefits have beengained.
文摘This study investigated a water supply recovery problem involving municipal water service piping. The problem consisted in recovering full service after network failure, in order to rapidly satisfy all urgent citywide demands. The optimal recovery solution was achieved through the application of so-called network design problems （NDPs）, which are a form of combinatorial optimization problem. However, a conventional NDP is not suitable for addressing urgent situations because （1） it does not utilize the non-failure arcs in the network, and （2） it is solely concerned with stable costs such as flow costs. Therefore, to adapt the technique to such urgent situations, the conventional NDP is here modified to deal with the specified water supply problem. In addition, a numerical illustration using the Sendai water network is presented.
