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Wyświetlanie 1-2 z 2
Tytuł:
Direct least squares and derivative-free optimisation techniques for determining mine-induced horizontal ground displacement
Autorzy:
Rusek, Janusz
Tajduś, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/2090675.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
horizontal ground displacement
mining
direct least squares
derivative-free optimisation
genetic algorithms
differential evolution
particle swarm optimization
przemieszczenie poziome gruntu
górnictwo
optymalizacja bez pochodnych
optymalizacja roju cząstek
algorytmy genetyczne
ewolucja różnicowa
bezpośrednie najmniejsze kwadraty
Opis:
The paper presents the results of analyses concerning a new approach to approximating trajectory of mining-induced horizontal displacements. Analyses aimed at finding the most effective method of fitting data to the trajectory of mining-induced horizontal displacements. Two variants were made. In the first, the direct least square fitting (DLSF) method was applied based on the minimization of the objective function defined in the form of an algebraic distance. In the second, the effectiveness of differential-free optimization methods (DFO) was verified. As part of this study, the following methods were tested: genetic algorithms (GA), differential evolution (DE) and particle swarm optimization (PSO). The data for the analysis were measurements of on the ground surface caused by the mining progressive work at face no. 698 of the German Prospel-Haniel mine. The results obtained were compared in terms of the fitting quality, the stability of the results and the time needed to carry out the calculations. Finally, it was found that the direct least square fitting (DLSF) approach is the most effective for the analyzed registration data base. In the authors’ opinion, this is dictated by the angular range in which the measurements within a given measuring point oscillated.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 1; e135840, 1--12
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Direct least squares and derivative-free optimisation techniques for determining mine-induced horizontal ground displacement
Autorzy:
Rusek, Janusz
Tajduś, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/2173560.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
horizontal ground displacement
mining
direct least squares
derivative-free optimisation
genetic algorithms
differential evolution
particle swarm optimization
przemieszczenie poziome gruntu
górnictwo
optymalizacja bez pochodnych
optymalizacja roju cząstek
algorytmy genetyczne
ewolucja różnicowa
bezpośrednie najmniejsze kwadraty
Opis:
The paper presents the results of analyses concerning a new approach to approximating trajectory of mining-induced horizontal displacements. Analyses aimed at finding the most effective method of fitting data to the trajectory of mining-induced horizontal displacements. Two variants were made. In the first, the direct least square fitting (DLSF) method was applied based on the minimization of the objective function defined in the form of an algebraic distance. In the second, the effectiveness of differential-free optimization methods (DFO) was verified. As part of this study, the following methods were tested: genetic algorithms (GA), differential evolution (DE) and particle swarm optimization (PSO). The data for the analysis were measurements of on the ground surface caused by the mining progressive work at face no. 698 of the German Prospel-Haniel mine. The results obtained were compared in terms of the fitting quality, the stability of the results and the time needed to carry out the calculations. Finally, it was found that the direct least square fitting (DLSF) approach is the most effective for the analyzed registration data base. In the authors’ opinion, this is dictated by the angular range in which the measurements within a given measuring point oscillated.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2021, 69, 1; art. no. e135840
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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