| 动态系统影响优化分析 |
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| 引用本文： | 曹黄金,柴跃廷,刘义. 动态系统影响优化分析[J]. 清华大学学报(自然科学版), 2011, 0(3): 304-308 |
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| 作者姓名： | 曹黄金 柴跃廷 刘义 |
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| 作者单位： | 清华大学自动化系; |
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| 基金项目： | 国家科技支撑计划资助项目(2009BAH48B03) |
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| 摘 要： | 管理者通常需要确定系统参数及决策变量,以达成预期目标.但优化参数较多时,往往导致求解精度较低,甚至无法求解.为提高优化效果,在定义影响度的基础上提出了影响优化分析方法.依据影响度结果,从众多系统参数中选取那些对系统目标影响较大的参数.将原优化问题转化为非线性规划问题,引入遗传算法优化控制序列和所选参数.以库存系统为例进...
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| 关 键 词： | 运作计划 影响度 动态系统 影响优化分析 遗传算法 系统动力学 |
Influence-optimization analysis for dynamic systems |
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| CAO Huangjin,CHAI Yueting,LIU Yi. Influence-optimization analysis for dynamic systems[J]. Journal of Tsinghua University(Science and Technology), 2011, 0(3): 304-308 |
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| Authors: | CAO Huangjin CHAI Yueting LIU Yi |
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| Affiliation: | CAO Huangjin,CHAI Yueting,LIU Yi(Department of Automation,Tsinghua University,Beijing 100084,China) |
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| Abstract: | Managers often need to determine the system parameters and decision variables to achieve their desired goals.However,excessive parameters may reduce the accuracy and lead to no solutions.An influence-optimization analysis was developed based on the influence degree to identify parameters that have significant impact on the system goals.The original optimization problem is then converted into a nonlinear programming problem,with the control sequences and selected parameters obtained using a genetic algorithm... |
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| Keywords: | operational plan influence degree dynamic system influence-optimization analysis genetic algorithms system dynamics |
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