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Optimization of Wireless Body Area Networks Model in Clonal Selection Quantum Genetic Algorithm

机译:克隆选择量子遗传算法中无线体积网络模型的优化

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The Wireless Body Area Networks models is not formal with the different facilities.The adaptive choice of the models is very important for each special user.In order to improve the model,the authors optimize the model of Wireless Body Area Networks with the quantum genetic algorithm based on clonal selection.The clonal selection quantum (CSQ) has shown the results of experiment by quantum genetic algorithm and immune clonal selection,and the rate and precision of quantum evolutionary algorithm have been better.It gives encouraging data results when we use the algorithm to the function optimization of Wireless Body Area Networks Model with the introduction of simulation.
机译:无线体积网络模型与不同的设施不正常。该模型的自适应选择对于每个特殊用户来说非常重要。为了改进模型,提交人员用量子遗传算法优化无线体积网络模型基于克隆的选择。克隆选择量子(CSQ)显示了量子遗传算法和免疫克隆选择的实验结果,并且量子进化算法的速率和精度已经更好。当我们使用算法时,可以给出令人鼓舞的数据结果用仿真引入的无线体积网络模型的功能优化。

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