نتایج جستجو برای: network flow
تعداد نتایج: 1118598 فیلتر نتایج به سال:
Regulations of use of social networks, as one of the key components in these networks, serve an important role in controlling the flow of traffic. The study of the harmonization of these terms and regulations can be a significant step to avoid congestion and (Users’) rejection in the network. Harmonization of traffic control regulations (TCR) among social networks is one of the best solutions t...
due to the increasing interest on renewable sources in recent years, the studies on integration of distributed generation to the power grid have rapidly increased. in order to minimize line losses of power systems, it is crucially important to define the size and location of local generation to be placed. minimizing the losses in the system would bring two types of saving, in real life, one is ...
recently, particular attention has been paid to the stepped spillways due to the increasing effect of energy dissipation and the reduction of cavitations risks with the development of roller compacted concrete (rcc) technique. flow regimes on the spillways divide into three groups, namely skimming, jet and transition flow. compared to the numerical methods, the majority of performed studies in ...
Prediction of sediment load transported by rivers is a crucial step in the management of rivers, reservoirs and hydraulic projects. In the present study, in order to predict the suspended sediment of Taleghan river by using artificial neural network, and recognize the best ANN with the highest accuracy, 500 daily data series of flow discharge on the present day, flow discharge on the past day...
Accurate flood forecasting is a vital need to reduce its risks. Due to the complicated structure of flood and river flow, it is somehow difficult to solve this problem. Artificial neural networks, such as frequent neural networks, offer good performance in time series data. In recent years, the use of Long Short Term Memory networks hase attracted much attention due to the faults of frequent ne...
accurate prediction of river flow is one of the most important factors in surface water recourses management especially during floods and drought periods. in fact deriving a proper method for flow forecasting is an important challenge in water resources management and engineering. although, during recent decades, some black box models based on artificial neural networks (ann), have been develop...
in this paper, an efficient extension of network simplex algorithm is presented. in static scheduling problem, where there is no change in situation, the challenge is that the large problems can be solved in a short time. in this paper, the static scheduling problem of automated guided vehicles in container terminal is solved by network simplex algorithm (nsa) and nsa+, which extended the stand...
in static scheduling problem, where there is no change in situation, the challenge is that the large problems can be solved in a short time. in this paper, the static scheduling problem of automated guided vehicles in container terminal is solved by the network simplex algorithm (nsa). the algorithm is based on graph model and their performances are at least 100 times faster than traditional si...
The normal operation of infrastructure networks such as groundwater maintains people’s life and work. Therefore, it is great significance to estimate the residual flow when these are damaged evaluate their anti-risk ability. This paper abstracts problems damage-network time-varying maximum problem (DTMFP), where arc capacity in network set a function. Since water subject electric-driven periodi...
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