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The process of sinter have a great influence on production and economic benefits of the iron-making, the prediction of sinter performance is very necessary. However, the sinter process is complex, nonlinear and hysteresis, and strong coupling, it's impossible to establish a mathematical model. In this paper, we constructed a prediction model of sinter comprehensive performance by integrating GM(1,1)...
In this paper, a direct adaptive neural network control (DANNC) method is developed to deal with the multi-variable (dissolved oxygen concentration and nitrate concentration) tracking control problem in wastewater treatment processes (WWTPs), which avoids the perplex issue of establishing the plant model of WWTP and has the excellent adaptive ability. The DANNC system is composed of neural controller...
The parallel heating furnaces scheduling problem for hot rolling which aims to achieve energy conservation is discussed in this paper. According to the characteristics of parallel heating furnaces, a multi-objective mathematical model is then established considering mixed charging of cold and hot slabs. The model is to minimize the energy consumption of heating furnaces and a hot rolling mill, with...
A novel circuit architecture for variable latency adder based on present and transitional states prediction (PTSP) method is presented in this paper, for taking the low power benefits of voltage-over-scaling. With the scaling down of CMOS technology, failure from process variation and high power consumption has become severe problem in VLSI design and the traditional conservative methodology is about...
A memetic algorithm MCLPSO based on the comprehensive learning PSO (CLPSO) is presented in this study. In MCLPSO, a chaotic local search operator is used and a Simulated Annealing (SA) based local search strategy is developed by combining the cognition-only PSO model with SA. The memetic scheme can enable the stagnant particles which cannot be improved by the comprehensive learning strategy to escape...
This paper integrates the ideas of “divide and conquer” and “put the heads together”, and proposes a method of selecting sub-networks on-line based on fuzzy decision-making. For a given input, this method calculates the distances between the input and the centers of sub-networks firstly, and then obtains the fuzzy member degree based on distance measure, finally realizes on-line sub-networks selection...
Computational verb cellular networks (CVCNs) represent a new platform of cellular computation. In a CVCN, local rules are computational verb rules. In this paper, the theoretical study of conditions, under which two kinds of pattern solutions form in 1D CVCN, is performed. The mechanisms of forming grid and multicolor flip-flop patterns in one-dimensional CVCN are studied mathematically. Based on...
Computational verb cellular networks (CVCNs) represent a new platform of cellular computation. In a CVCN, local rules are computational verb rules. In this paper, the theoretical study of conditions, under which a kind of grid pattern solution forms in ID CVCN, is performed. Based on the theorems of previous works, the constraints of parameters of ID CVCNs for generating the pattern solution are constructed...
To overcome the common defects of early convergence in the existing genetic algorithm, an improved genetic algorithm with new crossover operator and new crossover strategy was presented for the solution to the vehicle routing problem with soft time window (VRPTW). Experiments show that the improved genetic algorithm can dramatically reduce the number of same or similar chromosomes, and increase the...
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