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Digital
Library of the European Council for Modelling and Simulation |
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Title: |
Optimised bumblebee paths as search strategy for autonomous underwater
vehicles |
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Authors: |
Christoph Tholen, Lars Nolle, Tarek A. El-Mihoub, Oliver Zielinski |
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Published in:
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(2022). ECMS 2022, 36th
Proceedings DOI: http://doi.org/10.7148/2022
ISSN: 2522-2422 (ONLINE)
ISSN: 2522-2414 (PRINT)
ISSN: 2522-2430 (CD-ROM) ISBN: 978-3-937436-77-7 Communications of the ECMS , Volume 36, Issue 1, June 2022, Ålesund, Norway May 30th - June
3rd, 2022 |
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Citation format: |
Christoph Tholen, Lars Nolle, Tarek A. El-Mihoub, Oliver Zielinski (2022). Optimised bumblebee paths as search strategy for autonomous underwater vehicles, ECMS 2022 Proceedings Edited By: Ibrahim A. Hameed, Agus Hasan, Saleh Abdel-Afou Alaliyat, European Council for Modeling and Simulation. doi:10.7148/2022-0107 |
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DOI: |
https://doi.org/10.7148/2022-0107 |
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Abstract: |
In this paper, the concept of optimized
bumblebee (BB) patterns as a search strategy for autonomous underwater
vehicles (AUV) is presented. Here, an AUV is used to detect submarine
groundwater discharge (SGD) in coastal areas. The optimization of the BB paths
is achieved utilizing k-opt optimization. In this research, 2-opt, 3-opt and
4-opt is used for the optimization of the BB paths. It is shown using computer
simulations that all three optimization strategies are able to improve the
search capabilities of the BB search strategy. The optimization of the BB path
shortens the length of the path to visit the waypoints generated. The saved
energy can be used for exploring. The median saved path length is 33.8 m, 43.5
m and 52.6 m for the 2-opt, 3-opt and 4-opt, respectively. The median
error over 1,000 experiments of the not-optimized BB is 76.26, while the
median error of the optimized BB are 71.63, 72.02 and 72.23 for the 2-opt,
3-opt and 4-opt, respectively. |
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Full text: |
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