- author = "Adelino R. Ferreira {da Silva}",
- title = "Evolutionary Wavelet Bases in Signal Spaces",
- booktitle = "Real-World Applications of Evolutionary Computing",
- year = "2000",
- editor = "Stefano Cagnoni and Riccardo Poli and George D. Smith and David Corne and Martin Oates and Emma Hart and Pier Luca Lanzi and Egbert Jan Willem and Yun Li and Ben Paechter and Terence C. Fogarty",
- volume = "1803",
- series = "LNCS",
- pages = "44--53",
- address = "Edinburgh",
- publisher_address = "Berlin",
- month = "17 " # apr,
- organisation = "EvoNet",
- publisher = "Springer-Verlag",
- keywords = "genetic algorithms, genetic programming",
- ISBN = "3-540-67353-9",
-
DOI = "
doi:10.1007/3-540-45561-2_5",
- abstract = "We introduce a test environment based on the optimization of signals approximated in function spaces in order to compare the performance of different evolutionary algorithms. An evolutionary algorithm to optimize signal representations by adaptively choosing a basis depending on the signal is presented. We show how evolutionary algorithms can be exploited to search larger waveform dictionaries for best basis selection than those considered in current standard approaches.",
-
notes = "Evolution of wavlet trees.
EvoWorkshops 2000: EvoIASP, EvoSCONDI, EvoTel, EvoSTIM, EvoRob, and EvoFlight, Edinburgh, Scotland, UK, April 17, 2000 Proceedings
http://evonet.lri.fr/evoweb/resources/books_journals/record.php?id=61",
