Genetic Algorithm-Based Matched Field Processing is a matched field processing method that employs genetic algorithms to optimize the match between measured and modeled acoustic fields, distinguishing itself from conventional techniques by using evolutionary computation for source localization in underwater acoustics.
14
Publications
452
Citations
32
Authors
17
Institutions
Publications per year
2017–2026
1
Parents
Publications
14
1–5 of 14
Authors
32
- MT
3
h-index
- DG
2
h-index
- MS
2
h-index
- PLPeter L. Nielsen
NATO Centre for Maritime Research and Experimentation, Italy
2 publications · 53 citations
2
h-index
- JH
1
h-index
1–5 of 32
Institutions
17
NATO Centre for Maritime Research and Experimentation
La Spezia, Italy
4 h-index
8 publications
398 citations
University of Crete
Rethymno, Greece
3 h-index
3 publications
83 citations
Foundation for Research and Technology Hellas
Heraklion, Greece
2 h-index
4 publications
118 citations
Netherlands Organisation for Applied Scientific Research
Delft, The Netherlands
2 h-index
4 publications
120 citations
Naval Academy
Istanbul, Turkey
1 h-index
2 publications
30 citations
Northwestern Polytechnical University
Xi'an, China
1 h-index
3 publications
102 citations
Imperial College London
London, United Kingdom
1 h-index
2 publications
102 citations
Scripps Institution of Oceanography
La Jolla, United States
1 h-index
2 publications
70 citations
1–8 of 17
Venues
- IEEE Journal of Oceanic Engineering
4 publications · 201 citations
4
h-index
- The Journal of the Acoustical Society of America
JASA · 3 publications · 102 citations
3
h-index
- Journal of Computational Acoustics
2 publications · 44 citations
2
h-index
- Journal of Petroleum Science and Engineering
1 publications · 51 citations
1
h-index
- Chinese Journal of Oceanology and Limnology
1 publications · 15 citations
1
h-index
1–5