Automatic Random Tree Generator on FPGA

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Goribar:2015:NEO,

• author = "Carlos Goribar and Yazmin Maldonado and Leonardo Trujillo",
• title = "Automatic Random Tree Generator on {FPGA}",
• booktitle = "NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico",
• year = "2015",
• editor = "Oliver Schuetze and Leonardo Trujillo and Pierrick Legrand and Yazmin Maldonado",
• volume = "663",
• series = "Studies in Computational Intelligence",
• chapter = "4",
• pages = "89--104",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, EHW, FPGA, VHDL",
• isbn13 = "978-3-319-44003-3",
• DOI = "doi:10.1007/978-3-319-44003-3_4",
• abstract = "In this work we propose the implementation of an automatic random tree generator on an FPGA for genetic programming (GP). While most authors in specialized literature avoid the use of the tree data structure in their implementations of GP on Field Programmable Gate Arrays (FPGAs), due to the impossibility of using pointers (references) in the Very High Speed Integrated Circuit Hardware Description Language (VHDL), we propose two methods for a single matrix implementation and one for a vector implementation. All trees in the population are created in concurrent processes leading to significant time savings. We present pseudocode and results of hardware consumption for matrix and vector implementations. Results show that up to 100 trees can be implemented in a Spartan-6 FPGA using the representation of one tree in a single matrix in parallel processes. Moreover, this implementation requires less resources than the apparently simpler vector representation.",
• notes = "Published 2017. See also \cite{Goribar-Jimenez:2016:GECCOcomp}",

}

Genetic Programming entries for Carlos Antonio Goribar Jimenez Yazmin Maldonado Robles Leonardo Trujillo

Citations