Resolution of the Inverse Problem for Iterated Function Systems using Evolutionary Algorithms

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@InProceedings{Sarafopoulos:2006:CEC,

• author = "Anargyros Sarafopoulos and Bernard Buxton",
• title = "Resolution of the Inverse Problem for Iterated Function Systems using Evolutionary Algorithms",
• booktitle = "Proceedings of the 2006 IEEE Congress on Evolutionary Computation",
• year = "2006",
• editor = "Gary G. Yen and Lipo Wang and Piero Bonissone and Simon M. Lucas",
• pages = "3816--3823",
• address = "Vancouver",
• month = "16-21 " # jul,
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "0-7803-9487-9",
• DOI = "doi:10.1109/CEC.2006.1688428",
• size = "8 pages",
• abstract = "The resolution of the inverse problem for iterated function systems (IFS) is a problem that has remained open, currently there is no general solution that requires no human interaction and provides optimal results. Here we present a novel approach to the resolution of the general inverse problem for IFS using segmentation of target images in conjuction with an Evolutionary Algorithm that is a Genetic Programming- Evolutionary Strategies hybrid.",
• notes = "WCCI 2006 - A joint meeting of the IEEE, the EPS, and the IEE.

  IEEE Catalog Number: 06TH8846D",

}

Genetic Programming entries for Anargyros Sarafopoulos Bernard Buxton

Citations