- author = "Steven P. Smith and Bertrand Daniel Dunay",
- title = "Evolutionary Algorithms in Target Acquisition and Sensor Fusion",
- booktitle = "Evolutionary Algorithms in Engineering Applications",
- publisher = "Springer-Verlag",
- year = "1997",
- editor = "Dipankar Dasupta and Zbigniew Michalewicz",
- chapter = "24",
- pages = "425--449",
- address = "Berlin",
- keywords = "genetic algorithms, genetic programming",
- ISBN = "3-540-62021-4",
- isbn13 = "978-3-662-03423-1",
-
URL = "
http://www.springer.com/computer/swe/book/978-3-540-62021-1",
-
DOI = "
10.1007/978-3-662-03423-1_24",
- abstract = "we present evolutionary algorithm techniques for signal processing. A proprietary evolutionary algorithm (EA) is applied to the task of discriminating stationary targets from clutter in both a radar and imaging sensor. Three applications are made of the EA. First, the EA is used to derive an algorithm for radar target detection including features and decision logics; second, the EA is used to derive an algorithm for an imaging sensor target detection; and third, the EA is used to derive a fused detector, which combines the information from both sensors to make a better detection decision. After detection, the EA may also be used to develop a fused classifier. The EA used can be categorized as a program induction algorithm. That is, the result of the evolutionary process is one or more computer programs that implements a detection or classification algorithm. A technique for real time adaptation of target acquisition algorithms is also discussed.",
-
notes = "also known as \cite{Smith1997}
Smith:1997:GAGPc,
Andreas Geyer-Schulz: 'the following paper actually is a kind of genetic programming paper. It produces C, Fortran, Basic or Pseudocde for Radar detection.'",
