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Analysis of network traffic behavior and modeling to predict, for network management and security early warning has a very important significance. An improved FOA-ESN method using opposition-based learning (OBL) mechanism for the network traffic prediction with multiple steps is proposed in this paper. Firstly, reconstructing the phase space of the original network flow time series, and then building...
There are two ways to improve the D-S evidence theory, the methods based on modification for Dempster rule, and the methods based on modification for original evidence sources. For modification of evidence sources, there are mainly two methods: discounting factor method and weighted average method. Although the weighted average method has better focusing degree, it ignores conflicting degree of combination...
The network traffic is a very important parameter to evaluate the network load and running state, and realization of the accurate prediction can be an important method to improve the network management. In this paper, a multi-step prediction method for the network traffic based on echo state network (ESN) optimized by quantum-behaved fruit fly optimization algorithm (QFOA) is proposed. First, the...
Modified Artificial Fish Swarm Algorithm (MAFSA) was proposed to optimize the reactive power optimization, which is evaluated on an IEEE 57-bus power system. MAFSA based on the global search characteristic of Artificial Fish Swarm Algorithm (AFSA) and combined with the local search of chaos optimization algorithm(COA) can avoid trapping into local minimal value and decrease the iteration numbers,...
Space heating accounts for the greatest energy consumption in cold regions of China. Proper application of thermal insulation is one of the most effective energy conservation measures for residential buildings. Therefore, determining and selecting the optimum thickness of insulation is important not only for the environment but also for the energy costs. In this paper, a mathematical model demonstrating...
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