变形分析:改进的GREDOD方法

IF 0.4 4区 社会学 Q4 GEOGRAPHY
Mehmed Batilović, Ž. Kanović, Z. Sušić, M. Markovic, V. Bulatović
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引用次数: 2

摘要

本文在应用遗传算法(GA)和广义粒子群优化(GPSO)算法的基础上,提出了一种改进的基于观测差的广义鲁棒变形估计(GREDOD)方法,解决了该方法的优化问题,其实质是确定位移矢量的最优基准的问题。本文以大量研究中出现的二维大地网为例,对所有观测值和位移进行了模拟,说明了利用这种改进的GREDOD方法进行变形分析的过程。采用遗传算法和GPSO算法,得到的变形分析结果基本一致,只是位移矢量的基准解完全不同。这些结果与使用汉诺威、卡尔斯鲁厄、代尔夫特、弗雷德里克顿、m nchen、Caspary和经典鲁棒方法获得的结果略有不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deformation analysis: the modified GREDOD method
In this paper, a modified Generalised Robust Estimation of Deformation from Observation Differences (GREDOD) method is presented, based on the application of genetic algorithm (GA) and generalised particle swarm optimisation (GPSO) algorithm in solving the optimisation problem of this method, which is, in essence, a problem of determining the optimal datum of the displacement vector. The procedure of deformation analysis using this modification of the GREDOD method is demonstrated in the example of the two-dimensional geodetic network presented in numerous research and in which all observations and displacements were simulated. Using both algorithms, GA and GPSO, almost identical results of deformation analysis were obtained, except datum solutions of the displacement vector, which are completely different. These results differ only slightly from the results obtained using the methods of Hannover, Karlsruhe, Delft, Fredericton, München, Caspary, and the classical robust method.
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来源期刊
Geodetski Vestnik
Geodetski Vestnik GEOGRAPHY-
CiteScore
1.00
自引率
33.30%
发文量
10
审稿时长
12 weeks
期刊介绍: Zveza geodetov Slovenije v skladu s svojim poslanstvom in s svojim statutom, izdaja znanstveno, strokovno in informativno glasilo Geodetski vestnik. Izhaja v nakladi 1200 izvodov. Objavlja znanstvene, strokovne in poljudno strokovne prispevke ter informacije. Revija je dostopna v večjem številu sekundarnih podatkovnih baz po svetu in mnogih knjižnicah. Od leta 2008 je vključena v Thomson Scientific bazo podatkov SCI. Cena izvoda revije je za nečlane 17 Evrov.
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