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This paper, in order to reduce fault and improve ratio of recognition, build adaptive neural network-based fuzzy inference system (ANFIS), which was applied to build a fault diagnosis model of automobile engine, adopts the method of information fusion in entropy method to optimize the input interface. To reduce the impact of excessive parameters on classification accuracy and cost, it also raises...
Test suite reduction aims at adequately testing all the test requirements with the least number of test cases. Through the coverage relationship between test requirements and test cases, test suite reduction problem can be converted into the standard optimization problem. Quantum evolutionary algorithm (QEA) is an intelligent algorithm based on quantum computation . In QEA, chromosomes are encoded...
In this paper, a novel constrained multiobjective immune algorithm for optimizing detector distribution in V-detector negative selection is proposed. The theory of artificial immune system (AIS) and the spirit of population evolution are introduced to generate detectors. By combining the constraint handling technique and AIS-based multiobjective optimization, the algorithm is able to steadily maximize...
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