Deep Learning Concepts for Evolutionary Art

Created by W.Langdon from gp-bibliography.bib Revision:1.7642

@InProceedings{Tanjil:2019:evomusart,

• author = "Fazle Tanjil and Brian J. Ross",
• title = "Deep Learning Concepts for Evolutionary Art",
• booktitle = "8th International Conference on Computational Intelligence in Music, Sound, Art and Design, EvoMusArt 2019",
• year = "2019",
• editor = "Aniko Ekart and Antonios Liapis and Luz Castro",
• series = "LNCS",
• volume = "11453",
• publisher = "Springer",
• pages = "1--17",
• address = "Leipzig, Germany",
• month = "24-26 " # apr,
• organisation = "Species",
• keywords = "genetic algorithms, genetic programming, Deep convolutional neural network, ANN, Evolutionary art",
• isbn13 = "978-3-030-16666-3",
• DOI = "doi:10.1007/978-3-030-16667-0_1",
• abstract = "Fig. 1. System Architecture. The CNN on left side is integrated with GP fitness. The same CNN is used (right side) to pre-evaluate a target image, to be used as a basis for determining feature map values to match with evolved images during fitness.",
• notes = "EvoMusArt2019 held in conjunction with EuroGP'2019 EvoCOP2019 and EvoApplications2019 http://www.evostar.org/2019/cfp_evomusart.php",

}

Genetic Programming entries for Fazle Tanjil Brian J Ross

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