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More and more attention is paid to computer aided automobile body conceptual design field in recent years. This paper presents a novel method which applies evolutionary design to the automobile body conceptual design system. By using some evolutionary design algorithm like genetic algorithm, the method helps designers to produce innovative design ideas and interesting results in the stage of automobile...
Based on the modified co-evolutionary genetic algorithm, the signal timing of the urban single-point T intersection was optimized. In order to solve this problem, the shortest average delay was taken as objective, and the intersection geometry shape and prohibition of traffic flow conflicts were taken as restrictions. Simulation experiments show that the optimization signal phase figure results are...
The selection of parameters and structure are critical for wavelet neural networks (WNN) when they are used for fault diagnosis. Genetic algorithm is presented to optimize the structure and the parameters of WNN in the training process because of its good ability of global optimization. This method solves the main problem of easily falling into local extreme minimum to cause slow convergence when...
The optimal problem of scheduling limited advertising resources was studied in this paper. Under the circumstances that the benefits of both Web sites and advertisers were balanced, a model based on hybrid pricing was proposed for maximizing website revenue. The relation between impression and clicks ratio was fitted by BP neural network, and the constrained optimization problem was converted into...
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