| 战区装备保障点动态选址决策模型及算法 |
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| 引用本文： | 董鹏,杨超,冷静.战区装备保障点动态选址决策模型及算法[J].系统工程与电子技术,2011,33(8):1804-1809. |
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| 作者姓名： | 董鹏 杨超 冷静 |
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| 作者单位： | 1. 华中科技大学管理学院， 湖北 武汉 430074； 2. 海军工程大学管理工程系， 湖北 武汉 430033 |
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| 摘 要： | 传统的选址决策方法没有考虑需求变化和物价上涨等因素，而在现实情况中这些因素对决策结果的影响很大。针对战区装备保障点动态选址决策问题，建立了相应选址模型，分析了遗传算法、反向传播(Back Propagation, BP)神经网络和模拟退火算法的优缺点，给出了一种基于遗传模拟退火算法的BP算法。最后运用该算法对实例进行了分析计算,计算结果验证了该算法的有效性。
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| 关 键 词： | 战区装备保障点 动态选址 遗传算法 BP神经网络 模拟退火算法 |
Dynamic locating decision-making model and arithmetic of war zone equipment support system |
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| DONG Peng,YANG Chao,LENG Jing.Dynamic locating decision-making model and arithmetic of war zone equipment support system[J].System Engineering and Electronics,2011,33(8):1804-1809. |
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| Authors: | DONG Peng YANG Chao LENG Jing |
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| Institution: | 1. School of Management, Huazhong University of Science & Technology, Wuhan 430074, China; ;
2. Deptartment of Management Science, Naval University of Engineering, Wuhan 430033, China |
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| Abstract: | Conventional location decision-making methods do not consider such factors as demand variety and price rising,but these factors quite affect decision-making results in practice.Aiming at the problem of dynamic locating of the war zone equipment support system,a corresponding location model is designed,the virtues and flaws of genetic algorithm,back propagation neural network and annealing algorithm are analyzed,and a BP algorithm based on genetic algorithm and simulated annealing algorithm is provided.Final... |
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| Keywords: | war zone equipment support system dynamic locating genetic algorithm BP neural network simulated annealing algorithm |
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