MULTI-OBJECTIVE OPTIMIZATION PROBLEM IN THE OptD-MULTI METHOD

Wioleta Błaszczak-bąk; Anna Sobieraj-Żłobińska; Michał Kowalik

doi:10.24425/mms.2019.128353

MULTI-OBJECTIVE OPTIMIZATION PROBLEM IN THE OptD-MULTI METHOD

Abstract

New measurement technologies, e.g. Light Detection And Ranging (LiDAR), generate very large datasets. In many cases, it is reasonable to reduce the number of measuring points, but in such a way that the datasets after reduction satisfy specific optimization criteria. For this purpose the Optimum Dataset (OptD) method proposed in [1] and [2] can be applied. The OptD method with the use of several optimization criteria is called OptD-multi and it gives several acceptable solutions. The paper presents methods of selecting one best solution based on the assumptions of two selected numerical optimization methods: the weighted sum method and the "-constraint method. The research was carried out on two measurement datasets from Airborne Laser Scanning (ALS) and Mobile Laser Scanning (MLS). The analysis have shown that it is possible to use numerical optimization methods (often used in construction) to obtain the LiDAR data. Both methods gave different results, they are determined by initially adopted assumptions and – in relation to early made findings, these results can be used instead of the original dataset for various studies.

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Authors (3)

Wioleta Błaszczak-bąk dr inż. hab
- UWM Olsztyn Instytut Geodezji
Anna Sobieraj-Żłobińska dr inż.
Michał Kowalik

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DOI:: Digital Object Identifier (open in new tab) 10.24425/mms.2019.128353
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Keywords

REDUCTION, OPTD METHOD, OPTIMIZATION, LIDAR.

Details

Category:: Articles
Type:: artykuł w czasopiśmie wyróżnionym w JCR
Published in:: Metrology and Measurement Systems no. 26, pages 253 - 266,
ISSN: 0860-8229
Language:: English
Publication year:: 2019
Bibliographic description:: Błaszczak-Bąk W., Sobieraj-Żłobińska A., Kowalik M.: MULTI-OBJECTIVE OPTIMIZATION PROBLEM IN THE OptD-MULTI METHOD// Metrology and Measurement Systems. -Vol. 26 , iss. 2 (2019), s.253-266
DOI:: Digital Object Identifier (open in new tab) 10.24425/mms.2019.128353
Verified by:: Gdańsk University of Technology