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单线列车运行图铺划的时间循环迭代优化方法 被引量:22
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作者 史峰 黎新华 +1 位作者 秦进 邓连波 《铁道学报》 EI CAS CSCD 北大核心 2005年第1期1-5,共5页
根据单线铁路列车运行图的特点,建立了单线铁路列车运行图排序模型,设计了运行图货物列车运行线铺划的时间循环迭代优化方法。该方法通过将运行图铺划模型分解为阶段优化模型,对阶段运行图按最早冲突优化方法进行优化,在阶段优化结果的... 根据单线铁路列车运行图的特点,建立了单线铁路列车运行图排序模型,设计了运行图货物列车运行线铺划的时间循环迭代优化方法。该方法通过将运行图铺划模型分解为阶段优化模型,对阶段运行图按最早冲突优化方法进行优化,在阶段优化结果的基础上,周而复始按时间循环迭代进行求解,逐步得到整体优化运行图。通过实例验证,该方法优化速度快,效果良好。 展开更多
关键词 运行图铺划 循环优化方法 松弛运行图 最早冲突化解
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片状介质材料复介电常数优化计算及测量 被引量:2
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作者 周建军 张宁 颜锦奎 《上海大学学报(自然科学版)》 CAS CSCD 北大核心 2017年第5期674-681,共8页
采用终端短路同轴开口波导技术,将开口同轴波导作为传感器,测量样品加载时的复反射系数,运用优化迭代反演求得待测材料的相对介电常数.详细介绍了所采用的理论模型和测量系统,测量了一些常见介质材料的复反射系数,复反射系数参考值与理... 采用终端短路同轴开口波导技术,将开口同轴波导作为传感器,测量样品加载时的复反射系数,运用优化迭代反演求得待测材料的相对介电常数.详细介绍了所采用的理论模型和测量系统,测量了一些常见介质材料的复反射系数,复反射系数参考值与理论计算值基本吻合,证明了该方法的合理性及可行性. 展开更多
关键词 开口同轴波导 复反射系数 相对介电常数 优化迭代方法
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基于TR MIMO雷达的相干目标DOA估计 被引量:3
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作者 刘梦波 胡国平 +1 位作者 师俊朋 周豪 《弹箭与制导学报》 CSCD 北大核心 2018年第6期109-112,116,共5页
针对MIMO(multi-input multi-output)雷达相干目标DOA(direction of arrival)估计问题,提出了一种基于Toeplitz矩阵重构的时间反转(time reversal,TR)MIMO雷达相干目标DOA估计算法。算法根据MIMO雷达接收信号模型,利用时间反转理论,建立... 针对MIMO(multi-input multi-output)雷达相干目标DOA(direction of arrival)估计问题,提出了一种基于Toeplitz矩阵重构的时间反转(time reversal,TR)MIMO雷达相干目标DOA估计算法。算法根据MIMO雷达接收信号模型,利用时间反转理论,建立TR MIMO雷达接收信号模型。在此模型的基础上,采用Toeplitz矩阵重构算法,去除目标的相干性,并基于一阶近似理论,利用优化迭代的方法进行DOA估计,进一步提高DOA估计的精度,并降低了计算复杂度。计算机仿真结果表明,在相同的快拍数与信噪比条件下,与传统的非时间反转MIMO雷达相比,文中的算法有更低的计算复杂度与更高的估计精度。 展开更多
关键词 DOA估计 TRMIMO雷达 TOEPLITZ矩阵 优化迭代方法 一阶近似
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An Improved Control Vector Iteration Approach for Nonlinear Dynamic Optimization (Ⅰ) Problems Without Path Constraints
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作者 胡云卿 刘兴高 薛安克 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2012年第6期1053-1058,共6页
This study proposes an efficient indirect approach for general nonlinear dynamic optimization problems without path constraints. The approach incorporates the virtues both from indirect and direct methods: it solves t... This study proposes an efficient indirect approach for general nonlinear dynamic optimization problems without path constraints. The approach incorporates the virtues both from indirect and direct methods: it solves the optimality conditions like the traditional indirect methods do, but uses a discretization technique inspired from direct methods. Compared with other indirect approaches, the proposed approach has two main advantages: (1) the discretized optimization problem only employs unconstrained nonlinear programming (NLP) algorithms such as BFGS (Broyden-Fletcher-Goldfarb-Shanno), rather than constrained NLP algorithms, therefore the computational efficiency is increased; (2) the relationship between the number of the discretized time intervals and the integration error of the four-step Adams predictor-corrector algorithm is established, thus the minimal number of time intervals that under desired integration tolerance can be estimated. The classic batch reactor problem is tested and compared in detail with literature reports, and the results reveal the effectiveness of the proposed approach. Dealing with path constraints requires extra techniques, and will be studied in the second paper. 展开更多
关键词 nonlinear dynamic optimization control vector iteration DISCRETIZATION
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A GENERAL ITERATIVE METHOD OF FIXED POINTS FOR EQUILIBRIUM PROBLEMS AND OPTIMIZATION PROBLEMS
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作者 Fang ZHANG·Yongfu SUDepartment of Mathematics,Tianjin Polytechnic University,Tianjin 300160,China. 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2009年第3期503-517,共15页
The purpose of this paper is to present a general iterative scheme as below:{F(un,y)+1/rn(y-un,un-xn)≥0,y∈C,xn+1=(I-αnA)Sun+αnγf(xn)and to prove that, if {an} and {rn} satisfy appropriate conditions, ... The purpose of this paper is to present a general iterative scheme as below:{F(un,y)+1/rn(y-un,un-xn)≥0,y∈C,xn+1=(I-αnA)Sun+αnγf(xn)and to prove that, if {an} and {rn} satisfy appropriate conditions, then iteration sequences {xn} and {un} converge strongly to a common element of the set of solutions of an equilibrium problem and the set of fixed points of a nonexpansive mapping and the set of solution of a variational inequality, too. Furthermore, by using the above result, we can also obtain an iterative algorithm for solution of an optimization problem min h(x), where h(x) is a convex and lower semicontinuous functional defined on a closed convex subset C of a Hilbert space H. The results presented in this paper extend, generalize and improve the results of Combettes and Hirstoaga, Wittmann, S.Takahashi, Giuseppe Marino, Hong-Kun Xu, and some others. 展开更多
关键词 Eprilibriurn problem nonexpansive mappings optimization problem strong convergence variational inequality.
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