| 物流中心选址算法改进及其Hopfield神经网络设计 |
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| 引用本文： | 曹云忠.物流中心选址算法改进及其Hopfield神经网络设计[J].计算机应用与软件,2009,26(3). |
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| 作者姓名： | 曹云忠 |
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| 作者单位： | 四川农业大学信息与工程技术学院,四川,雅安,625014 |
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| 基金项目： | 四川省计算机软件重点实验项目 |
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| 摘 要： | 在分析物流中心选址传统算法的基础上,引入一种新的选址模型,该模型能减少决策变量和约束条件的个数.利用该模型设计了一种Hopfield神经网络,将约束合并进网络结构从而将罚函数从能量函数中消除,使得网络的运行时间显著降低.为物流中心选址优化提供了一种新的方法.
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| 关 键 词： | 物流中心 选址优化 神经网络 |
THE IMPROVEMENT OF LOGISTICS CENTRE ADDRESSING ALGORITHM AND THE DESIGN OF ITS HOPFIELD NEURAL NETWORK |
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| CAO Yunzhong.THE IMPROVEMENT OF LOGISTICS CENTRE ADDRESSING ALGORITHM AND THE DESIGN OF ITS HOPFIELD NEURAL NETWORK[J].Computer Applications and Software,2009,26(3). |
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| Authors: | CAO Yunzhong |
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| Affiliation: | School of Information and Engineering Technology;Sichuan Agricultural University;Ya'an 625014;Sichuan;China |
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| Abstract: | Through the analysis of the traditional logistics centre addressing algorithm,a new addressing model which reduces decision variables and constraints is introduced.In this paper a Hopfield neural network(HNN) is designed using the model.The penalty function is eliminated from the energy function since the constraints are incorporated in the architecture of the neural networks which leads to observable decrease in the runtime of neural network.It will be a new approach for logistics centre addressing optimiz... |
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| Keywords: | Hopfield |
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