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An improved adaptive immune clone selection algorithm (ICSA) is proposed, which is a new heuristic intelligent optimization algorithm. We apply the method in the resource leveling; the properties are discussed and analyzed. The experimental results show that proposed methods have better performances such as good and fast global convergence, strong robustness, insensitive to initial values, simplicity...
A new method of fault diagnosis by dynamic modeling is put forward to obtain the diagnosis parameters of intelligent appliance in different running stages. The model identification approach using support vector regression (SVR) and immune clone selection algorithm (ICSA) is presented in this paper. The relation between process status and the temperature change rate is analyzed in the paper. For appliance...
A major concern in wireless sensor networks is to maximize network lifetime while maintaining a high quality of service at each round, which includes target coverage and network connectivity. There are two competing objectives presented to determine where to place the sensor nodes, the coverage rate and the number of working nodes. And then a novel algorithm for selecting the optimal coverage set...
A novel structure of dynamic model is proposed in this paper and applied to construct a dynamic model to correct the dynamic errors of the infrared thermometer, because of which the dynamic performance of the thermometer is effectively improved. The dynamic compensator is established and the compensation is described and explicated by the support vector machine (SVM) model. According to SVM model,...
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