Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Hans Jonas Fossum Moen"'
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43fc146befc329e4547c0e3dd665fa8e
https://doi.org/10.1109/ssci50451.2021.9660121
https://doi.org/10.1109/ssci50451.2021.9660121
Publikováno v:
2021 IEEE 48th Photovoltaic Specialists Conference (PVSC).
Unmanned aerial vehicles (UAVs) are well suited for infrared (IR) thermography of solar photovoltaics (PV). For an autonomous UAV system, precise and accurate navigation is vital for data quality and acquisition efficiency. The navigation system of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e70185f4c9e1c56e37b19f1f94ca3cf
https://doi.org/10.1109/pvsc43889.2021.9518810
https://doi.org/10.1109/pvsc43889.2021.9518810
Publikováno v:
IET Radar, Sonar & Navigation. 6:803-812
Matched filter concepts are extensively used in radar applications to maximise target detection. Usually, the receiver filter is matched to the transmitted signal, which is optimum for a point target return. For extended targets it is possible to do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63414b7cc3295ff804125e995f47694c
https://doi.org/10.1049/iet-rsn.2012.0099
https://doi.org/10.1049/iet-rsn.2012.0099
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642371394
EMO
EMO
Optimization of problems spanning more than three objectives, called many-objective optimization, is often hard to achieve using modern algorithm design and currently available computational resources. In this paper a multiobjective evolutionary algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9a8af51d95c9955306cfbc6d121d67f
https://doi.org/10.1007/978-3-642-37140-0_13
https://doi.org/10.1007/978-3-642-37140-0_13
Autor:
Harald Hovland, Hans Jonas Fossum Moen
Publikováno v:
GECCO
Radar system design and optimization are complex problems recently cast in the framework of multi-objective evolutionary algorithms. However, in the problem of counter radar detection and tracking, the state-of-the-art multi-objective optimization al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70b619e504be732de7cb5097475d6543
https://doi.org/10.1145/2001576.2001822
https://doi.org/10.1145/2001576.2001822
Publikováno v:
SPIE Proceedings.
Nyhavn, Ragnhild; Moen, Hans Jonas Fossum; Farsund, Oystein; Rustad, Gunnar. Optimal classification of standoff bioaerosol measurements using evolutionary algorithms. Proceedings of SPIE, the International Society for Optical Engineering 2011 ;Volum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41ef87e4faac2aba9696e7ac3235e912
https://doi.org/10.1117/12.883919
https://doi.org/10.1117/12.883919
Publikováno v:
GECCO
The next generation of advanced self-protection jammers is expected to deliver effective and energy efficient jamming against modern air tracking radars. However, optimizing such experimental jammers is a challenging task. In this paper the novelty a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a81aa477c19bcad28375039981bfe053
https://doi.org/10.1145/1389095.1389398
https://doi.org/10.1145/1389095.1389398
Publikováno v:
Proceedings of the 10th Annual Conference: Genetic & Evolutionary Computation; 7/12/2008, p1595-1602, 8p