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Utilizing Hopfield neural networks and an improved simulated annealing procedure for design optimization of electromagnetic devices

机译:利用Hopfield神经网络和改进的模拟退火程序优化电磁设备的设计

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摘要

A new method for the design optimization of electromagnetic devices is presented. Improved simulated annealing (SA) is used along with the Hopfield neural network (HN) to optimize a solution obtained from a trained multilayered perceptron (MLP). This results in an overall increase in the speed of optimization. Results are presented for two examples which show the effectiveness of the proposed method in obtaining a near optimal solution.
机译:提出了一种电磁装置设计优化的新方法。改进的模拟退火(SA)与Hopfield神经网络(HN)一起使用,以优化从受过训练的多层感知器(MLP)获得的解决方案。这样总体上提高了优化速度。给出了两个示例的结果,这些示例表明了所提出方法在获得近似最优解中的有效性。

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