The Effectiveness of Cost Based Subtree Caching Mechanisms in Typed Genetic Programming for Image Segmentation

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{Roberts:evowks03,

• author = "Mark E. Roberts",
• title = "The Effectiveness of Cost Based Subtree Caching Mechanisms in Typed Genetic Programming for Image Segmentation",
• booktitle = "Applications of Evolutionary Computing, EvoWorkshops2003: Evo{BIO}, Evo{COP}, Evo{IASP}, Evo{MUSART}, Evo{ROB}, Evo{STIM}",
• year = "2003",
• editor = "G{\"u}nther R. Raidl and Stefano Cagnoni and Juan Jes\'us Romero Cardalda and David W. Corne and Jens Gottlieb and Agn\`es Guillot and Emma Hart and Colin G. Johnson and Elena Marchiori and Jean-Arcady Meyer and Martin Middendorf",
• volume = "2611",
• series = "LNCS",
• pages = "444--454",
• address = "University of Essex, UK",
• publisher_address = "Berlin",
• month = "14-16 " # apr,
• organisation = "EvoNet",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming, evolutionary computation, applications",
• isbn13 = "978-3-540-00976-4",
• URL = "http://www.cs.bham.ac.uk/~mer/papers/evoiasp-2003.pdf",
• DOI = "doi:10.1007/3-540-36605-9_41",
• abstract = "Genetic programming (GP) has long been known as a computationally expensive optimisation technique. When evolving imaging operations, the processing time increases dramatically. This work describes a system using a caching mechanism which reduces the number of evaluations needed by up to 66 percent, counteracting the effects of increasing tree size. This results in a decrease in elapsed time of up to 52 percent. A cost threshold is introduced which can guarantee a speed increase. This caching technique allows GP to be feasibly applied to problems in computer vision and image processing. The trade-offs involved in caching are analysed, and the use of the technique on a previously time consuming medical segmentation problem is shown.",
• notes = "EvoWorkshops2003",

}

Genetic Programming entries for Mark E Roberts

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