| 基于模拟退火Hopfield网络模型的有约束FMS资源调度 |
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| 引用本文： | 王东云,杨文源,朱剑英. 基于模拟退火Hopfield网络模型的有约束FMS资源调度[J]. 中原工学院学报, 1997, 0(1) |
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| 作者姓名： | 王东云 杨文源 朱剑英 |
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| 作者单位： | 郑州纺织工学院电气系，南京航空航天大学机电学院 |
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| 摘 要： | 介绍了利用神经网络和模拟退火技术来求解有约束的ＦＭＳ资源调度问题的方法，有约束的ＦＭＳ资源调度问题首先被分解为一系列时间间隔的调度，这些时间间隔的调度由事件驱动，随着这些时间间隔的调度的完成，整个调度过程结束。仿真结果表明，由于这种方法是梯度下降法和随机搜索法的综合，因而它可以克服通常神经网络容易陷入局部极小点的缺点，从而获得问题的最优解
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| 关 键 词： | 模拟退火，神经网络，FMS，资源调度 |
Resource Constrained Scheduling for FMS Based on Simulated Annealing Hopfield Neural Network |
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| Wang Dongyun Yang Wenyuan Zhu Jianying. Resource Constrained Scheduling for FMS Based on Simulated Annealing Hopfield Neural Network[J]. Journal of Zhongyuan Institute of Technology, 1997, 0(1) |
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| Authors: | Wang Dongyun Yang Wenyuan Zhu Jianying |
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| Affiliation: | Zhengzhou Textile Institute 450007 PRC |
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| Abstract: | An approach for resource constrained FMS scheduling is described which integrates Hopfield neural network and simulated annealing in this paper.The resource constrained FMS scheduling problem is first decomposed into a series interval scheduling which is activated by accident.The whole scheduling is completed with a series interval scheduling and the whole scheduling is fulfilled.The simulated results show that the approach can dislodge a state from a local minimum and guide it to the global minimum |
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| Keywords: | simulated annealing neural network FMS resource scheduling |
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