| 神经网络方法求解多目标多加工工艺的柔性制造系统散件调度 |
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| 引用本文： | 朱兰娟,吴智铭.神经网络方法求解多目标多加工工艺的柔性制造系统散件调度[J].上海交通大学学报,2000,34(5). |
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| 作者姓名： | 朱兰娟 吴智铭 |
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| 作者单位： | 上海交通大学,自动化系,上海,200030 |
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| 基金项目： | 国家自然科学基金 ( 5 98895 0 5 )，西安交通大学机械系国家重点实验室资助 |
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| 摘 要： | 针对多目标、多加工路径选择的柔性制造系统 ( FMS)散件调度特点 ,提出一种带可控因素的神经网络模型 .用灵活的规则推理体现 FMS的系统目标 ,用可靠的神经网络演算解决非线性问题的优化组合 ,达到以较少的代价同时获得系统的完备性和适应性的效应
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| 关 键 词： | 柔性制造系统 神经网络 可控规则 散件调度 |
Neural Network for Job-Shop FMS Scheduling with Multi-Objectives and Various Process Plans |
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| ZHU Lan-juan,WU Zhi-ming.Neural Network for Job-Shop FMS Scheduling with Multi-Objectives and Various Process Plans[J].Journal of Shanghai Jiaotong University,2000,34(5). |
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| Authors: | ZHU Lan-juan WU Zhi-ming |
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| Abstract: | According to the requirementcharacteristics of a complex flexible manufacturing systems( FMS) job- shop scheduling,such as multiple objectives and alternate processing plans,a neural network model which keeps some special controllable factorwas presented.By using flexible dispatching rules and reliable neural networks,it is possible matching the working requirement of FMS and computing the non- linear problem solution ofoptimizing grouping.The results ofintegrity and adaptability ofthe system were simul- taneously obtained at a low cost. |
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| Keywords: | flexible manufacturing systems neural network controllable rules job- shop scheduling |
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