Solving Classification Problems Using Genetic Programming Algorithms on GPUs

Created by W.Langdon from gp-bibliography.bib Revision:1.7989

@InProceedings{Cano:2010:HAIS,

• author = "Alberto Cano and Amelia Zafra and Sebastian Ventura",
• title = "Solving Classification Problems Using Genetic Programming Algorithms on GPUs",
• booktitle = "Hybrid Artificial Intelligence Systems",
• year = "2010",
• series = "Lecture Notes in Computer Science",
• editor = "Emilio Corchado and Manuel {Grana Romay} and Alexandre {Manhaes Savio}",
• publisher = "Springer",
• pages = "17--26",
• volume = "6077",
• address = "San Sebastian, Spain",
• month = jun # " 23-25",
• DOI = "doi:10.1007/978-3-642-13803-4_3",
• email = "i52caroa@uco.es",
• keywords = "genetic algorithms, genetic programming, gpu, gpgpu, gpgpgpu",
• size = "10 pages",
• abstract = "Genetic Programming is very efficient in problem solving compared to other proposals but its performance is very slow when the size of the data increases. This paper proposes a model for multi-threaded Genetic Programming classification evaluation using a NVIDIA CUDA GPUs programming model to parallelise the evaluation phase and reduce computational time. Three different well-known Genetic Programming classification algorithms are evaluated using the parallel evaluation model proposed. Experimental results using UCI Machine Learning data sets compare the performance of the three classification algorithms in single and multithreaded Java, C and CUDA GPU code. Results show that our proposal is much more efficient.",
• affiliation = "University of Cordoba Department of Computing and Numerical Analysis 14071 Cordoba Spain",
• notes = "JCLEC. No absolute speed measure given (cf. \cite{langdon:2008:eurogp}). confusion matrix calculated on two GTX 285. big multi-class training sets from UCI (poker and shuttle) comparison with Java and Intel i7 multi-core. Three GP fitness functions. RPN interpreter",

}

Genetic Programming entries for Alberto Cano Rojas Amelia Zafra Gomez Sebastian Ventura

Citations