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In the view of the two aspects problems of the existing genetic algorithm, one is the low quality of the initial solution, the other is that in the later stage of evolution, convergence rate is slow, so we proposed an improved genetic algorithm, which was applied to solve the flexible job shop scheduling problem. This algorithm took the method FJSP as research subject, to minimize the maximum completion...
The increasing integration degree of circuits in electronic systems makes faults detection and isolation more and more difficult. Design for testability (DFT) was applied to solve the problem. In this procedure, designers are required to set an optimum arrangement of sensors to achieve the best testability. But the search of the best test points combination is usually conducted by manual work. To...
Clinical features and ultrasound signs of 76 subjects including 23 health subjects are collected. All samples are divided into the training set (38 samples) and the test set (38 samples) based on mean vector similarity. Each set contains 19 benign and 19 malignant. Multiple linear regression model (MLR-Model), back propagation neural network model (BPN-Model) and genetic algorithm-based back propagation...
Extension neural network is a new method based on Extenics and neural networks, it is full use of the Extension of qualitative and quantitative description of the advantages, but also consider the parallel structure characteristics, of neural network. This article describes the extension theory and neural network fusion extension neural network structure and introduce ENN algorithm based on genetic...
Through the systematic research on image segmentation and genetic algorithm applications in image segmentation, this paper proposes some improvements for the traditional genetic algorithm and applies the improved genetic algorithm in image segmentation. The experimental results show that the improved genetic algorithm this paper proposed can quicken the convergence, while maintaining the population...
The multi-source network coding problem, in which multiple multicast sessions with independent data share a network, is an open challenge. This paper proposes an approach to implement multi-source multicast sessions with linear network coding. We divide the original network into several sub-graphs, and each sub-graph contains a source node and its corresponding sink nodes. Links belonging to different...
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