Comparison between Genetic Algorithm and Genetic Programming Performance for Photomosaic Generation

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{DBLP:conf/seal/SahCDB08,

• author = "Shahrul Badariah Mat Sah and Victor Ciesielski and Daryl J. D'Souza and Marsha Berry",
• title = "Comparison between Genetic Algorithm and Genetic Programming Performance for Photomosaic Generation",
• booktitle = "Proceedings of the 7th International Conference on Simulated Evolution And Learning (SEAL '08)",
• year = "2008",
• editor = "Xiaodong Li and Michael Kirley and Mengjie Zhang and David G. Green and Victor Ciesielski and Hussein A. Abbass and Zbigniew Michalewicz and Tim Hendtlass and Kalyanmoy Deb and Kay Chen Tan and J{\"u}rgen Branke and Yuhui Shi",
• volume = "5361",
• series = "Lecture Notes in Computer Science",
• pages = "259--268",
• address = "Melbourne, Australia",
• month = dec # " 7-10",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Photomosaic",
• isbn13 = "978-3-540-89693-7",
• DOI = "doi:10.1007/978-3-540-89694-4_27",
• abstract = "Photomosaics are a new form of art in which smaller digital images (known as tiles) are used to construct larger images. Photomosaic generation not only creates interest in the digital arts area but has also attracted interest in the area of evolutionary computing. The photomosaic generation process may be viewed as an arrangement optimisation problem, for a given set of tiles and suitable target to be solved using evolutionary computing. In this paper we assess two methods used to represent photomosaics, genetic algorithms (GAs) and genetic programming (GP), in terms of their flexibility and efficiency. Our results show that although both approaches sometimes use the same computational effort, GP is capable of generating finer photomosaics in fewer generations. In conclusion, we found that the GP representation is richer than the GA representation and offers additional flexibility for future photomosaics generation.",
• bibsource = "DBLP, http://dblp.uni-trier.de",

}

Genetic Programming entries for Shahrul Badariah Mat Sah Victor Ciesielski Daryl J D'Souza Marsha Berry

Citations