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利用三轴磁传感器阵列对水下磁性目标进行定位是典型的非线性最小二乘优化问题，传统高斯– 牛顿（GN）法和列文伯格–马夸尔特（LM）算法在求解该问题时具有初值敏感性问题。通过引入信赖域搜索技术，对 LM 算法进行改进，并基于改进的 LM 算法实现磁性目标定位，又通过设置判断阈值来评估迭代点与最优解的距离，提出一种结合改进 LM 算法和高斯–牛顿法特点的改进 LM-GN 算法，既降低了算法对初始值的依赖性，又提高了运行效率。仿真实验结果表明：该方法可以克服现有方法中受初始值影响较大的问题，对目标特征参数的估计更精确，且收敛速度快，具有一定的实际应用价值。 相似文献
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低秩矩阵恢复问题在众多领域有重要应用。由于秩函数的复杂性,通常寻求其替代函数进而求解松弛问题。核范数是普遍使用的替代函数之一,但其恢复能力有限。本文提出了一种新的松弛模型用于求解低秩矩阵恢复问题,并给出了邻近梯度下降算法,证明了算法的收敛性。实验数据表明模型的恢复能力远高于核范数模型。算法对于含噪声的情形同样适用,与核范数相比,仍然具有优越性。 相似文献
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排队理论在确定集装箱码头吞吐能力中的应用 总被引：4，自引：0，他引：4
1序言从港口使用者的角度考虑，集装箱船舶在港口的待泊时间应该是最小的，即港口应该提供较多的集装箱泊位燃而从港口本身的角度考虑，集装箱泊位不应该过多，否则那些昂贵的机械设备将不能充分发挥效用。本文以6个集装箱泊位和豆62个待泊的集装箱船作为实例，介绍如何应用排队理论使二者利益的矛盾得到一个折衷的解决。2确定适当的排队模型2．1到港集装箱船舶的分布尽管每个集装箱船舶航线对其集装箱船通常都有一定的规律和固定的时间表，但是由于海上天气条件的变化以及船舶在某个停靠的港口不可预料的耽搁，只有极少数的船舶按固定时间… 相似文献
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采用最小势能原理的规划算法,尝试将太沙基一维固结解析解中参数离散,求解多层地基的固结问题。本文在弹性地基及孔隙比与有效应力增量线性关系的假设下,以分层土总势能公式作为规划算法求解的目标函数,并将固结离散为n个部分进行,通过离散的太沙基解析式进行时间约束,建立了数学规划模型。该模型可依据平均固结度求解多层地基各单元超孔隙水压力分布。通过2个算例对规划算法进行了验证,文章所提出的模型计算得到的超孔隙水压力分布与引证文献中解基本一致,同时讨论分析了规划算法在压缩模量变化较大的地基中的误差问题。 相似文献
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凸包计算是计算几何研究中的基本问题之一 ,在许多领域均有应用。本文对求解空间点集凸包的卷包裹算法的实现问题进行了讨论。提出了 2点优化措施 ,并解决了实现中可能出现的共面点及由此带来的退化问题。 相似文献
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《中国海洋大学学报(自然科学版)》2015,(8)
多组变量间的极大相关问题(MCP)有重要统计应用。目前已有的求解MCP的算法都不能保证获得MCP的全局解。本文通过求解MCP的对偶问题,给出了一种改进的Lagrange对偶方法。最后,数值实验结果说明了新方法能提高收敛到全局解的可能性。 相似文献
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不确定海洋环境中基于贝叶斯理论的多声源定位算法 总被引：2，自引：0，他引：2
环境参数失配导致定位性能大幅度下降是匹配场定位所面临的难题之一。应用贝叶斯理论对环境聚焦，是当前解决该难题的研究热点。环境聚焦方法的实质是将未知环境参数和声源位置联合优化估计，当出现多个目标时，估计的参数会随着声源个数成倍增加，因此不得不利用有限的观测信息来实现众多参数的估计。本文采用最大似然比方法，获得信号源谱和误差项的最大似然估计，实现这些敏感性较弱参数的间接反演，有效降低了反演参数维数和定位算法复杂度。针对遗传算法的早熟和稳定性差的问题，改进了似然函数的经验表达式。将多维后验概率密度在参数起伏变化范围内积分，得到反演参数的一维边缘概率分布，求解最优值的同时进行反演结果的不确定性分析。本文仿真了位于相同距离、不同深度的两个声源，使用仿真实验验证了提出算法的有效性。 相似文献
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根据浮筒配置方案的设计要求和合理性检验准则，给出了方案的优化模型。针对问题的复杂性，结合约束支配的概念，提出了一种改进的将浮筒纵向位置配置和浮筒充气量综合考虑、一体优化多目标进化算法。通过算例分析可知，将多目标进化算法以及约束支配的概念应用到浮筒配置优化方案是可行的、有效的。 相似文献
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高地下水位地区构筑地下建(构)筑物必须解决结构上浮问题,抵抗上拔荷载作用已成为地下工程建设中经常需要面临的问题。试验表明爆扩桩具有很好的抗浮能力,其成桩施工工艺方面的研究也比较完善,但是对爆扩桩的承载机理的研究很少,通过运用NCAP-1有限元计算程序,分析总结爆扩桩的抗拔承载机理。 相似文献
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高质量的海洋自然资源管理离不开数据和信息的支撑。鉴于海洋数据的特殊性，海洋数据处理常涉及长时间序列或大空间范围的处理工作，对于此类密集型计算为主的数据处理，通用型云平台存在效率不高的突出问题。文章在全面分析Hadoop平台原生资源调度算法的基础上，结合海洋数据处理密集型计算的特点，创新性地提出了基于竞争模型的遗传算法任务调度策略(CGA),有效地解决了遗传算法求解速度受初始化种群与种群进化测量影响较大的问题。此外，为加快收敛速度，引入竞争机制，构建基于种群竞争的自适应进化模型。通过实际验证和比对，证明改进后的算法在收敛速度及收敛结果的稳定性上都优于传统算法，有效地改进了海洋云平台资源调度的能力，提升了海洋数据的处理效率。 相似文献
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Geoacoustic Inversion via Genetic Algorithm and Its Application to Manganese Sediment Identification
An acoustic inversion method using a wide-band signal and two near field receivers is proposed and applied to multiple layered seabed models including a manganese sediment. The inversion problem can be formulated into a probabilistic model comprised of signals, a forward model, and additive noise. The forward model simulates wide-band signals, such as chirp signals, and is chosen to be the source-waveletconvolution plane wave modeling method. The wavelet matching technique, using weighted least-squares fitting, estimates the sediment sound-speed and thickness on which determination of the possible numerical ranges for a priori uniform distribution is based. The genetic algorithm is applied to a global optimization problem to find a maximum a posteriori solution for determined a priori search space. Here the object function is defined by an L 2 norm of the difference between measured and modeled signals. Not only the marginal pdf but also its statistics are calculated by numerical evaluation of integrals using the samples selected during importance sampling process of the genetic algorithm. 相似文献
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An effective method for array radiation pattern synthesis that allows formulation of the synthesis of a desired pattern as an optimization problem is presented. The solution proposed involves matrix operations based on the equivalent computation. The advantage of this approach is that it does not involve any numerical optimization routines-only ordinary matrix operations are required. Illustrations are presented to highlight the various aspects of the method. The proposed algorithm can be used to design arrays of uniformly spaced elements with nonisotropic and unequal radiation patterns 相似文献
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《Coastal Engineering》2006,53(1):1-25
The paper introduces a new approach to composite breakwater design based on minimizing initial/construction costs subject to yearly failure rate bounds for all failure modes, and presents a technique for sensitivity analysis. The solution of the resulting optimization problem becomes complex because the evaluation of failure rates involves one optimization problem per failure mode (FORM), so that a decomposition method is used to solve the problem. In addition, a sensitivity analysis is performed, which makes it possible to determine how the cost and yearly failure rates of the optimal solution are affected by small changes in the input data values. The proposed method is illustrated by its application to the design of a composite wall under breaking and non-breaking wave conditions. The storms are assumed to be stochastic processes characterized by their maximum significant wave heights, their maximum wave heights and the associated zero-up-crossing mean periods. 相似文献
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Geoacoustic Inversion via Genetic Algorithm and Its Application to Manganese Sediment Identification
Abstract An acoustic inversion method using a wide-band signal and two near field receivers is proposed and applied to multiple layered seabed models including a manganese sediment. The inversion problem can be formulated into a probabilistic model comprised of signals, a forward model, and additive noise. The forward model simulates wide-band signals, such as chirp signals, and is chosen to be the source-wavelet-convolution plane wave modeling method. The wavelet matching technique, using weighted least-squares fitting, estimates the sediment sound-speed and thickness on which determination of the possible numerical ranges for a priori uniform distribution is based. The genetic algorithm is applied to a global optimization problem to find a maximum a posteriori solution for determined a priori search space. Here the object function is defined by an L2 norm of the difference between measured and modeled signals. Not only the marginal pdf but also its statistics are calculated by numerical evaluation of integrals using the samples selected during importance sampling process of the genetic algorithm. 相似文献
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Subspace-tracking algorithms have traditionally been unable to deal with a large number of sources and at the same timepreserve their computationally efficiency, since, typically, efficiency goes down as the cube of the signal subspace dimension. One solution to this problem, which is presented in this paper, is to use a newly developed algorithm for the design of spatial filters in matrix form, in order to spatially filter the incoming data snapshots. The result is that the signal subspaces are confined to small angular sectors and, thus, the effective number of signals present is reduced. A method is developed for designing spatial filters in an efficient manner by formulating the design procedure as a rank-deficient linear least-squares problem. The source-bearing estimation is done using the signal-covariance matrix, which is updated using a recently developed fast algorithm, which is necessary in situations where one or more sources are nonstationary. The combination of the subspace-based bearing-estimation and spatial filter algorithms is shown to give good performance in cases of medium signal-to-noise ratio and is capable of resolving sources that are below the resolution limit of both conventional and adaptive beamforming. In addition, the use of spatial filtering makes it possible to estimate bearings for more than N narrow-band sources, using an N-element array. An example illustrating this capability is given. 相似文献