Local Search Approach to Genetic Programming for RF-PAs Modeling Implemented in FPGA

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Cardenas-Valdez:2015:NEO,
  author =       "J. R. {Cardenas Valdez} and Emigdio Z-Flores and 
                 Jose Cruz {Nunez Perez} and Leonardo Trujillo",
  title =        "Local Search Approach to Genetic Programming for
                 RF-PAs Modeling Implemented in 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",
  pages =        "67--88",
  chapter =      "3",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming, EHW, FPGA,
                 Local search, MPM, Behavioral models, DPD",
  isbn13 =       "978-3-319-44003-3",
  DOI =          "doi:10.1007/978-3-319-44003-3_3",
  abstract =     "This paper presents a genetic programming (GP)
                 approach enhanced with a local search heuristic (GP-LS)
                 to emulate the Doherty 7 W @ 2.11 GHz Radio Frequency
                 (RF) Power Amplifier (PA) conversion curves. GP has
                 been shown to be a powerful modelling tool, but can be
                 compromised by slow convergence and computational cost.
                 The proposal is to combine the explorative search of
                 standard GP, which build the syntax of the solution,
                 with numerical methods that perform an exploitative and
                 greedy local optimization of the evolved structures.
                 The results are compared with traditional modeling
                 techniques, particularly the memory polynomial model
                 (MPM). The main contribution of the paper is the
                 design, comparison and hardware emulation of GP-LS for
                 FPGA real applications. The experimental results show
                 that GP-LS can outperform standard MPM, and suggest a
                 promising new direction of future work on digital
                 pre-distortion (DPD) that requires complex behavioural
                 models",
  notes =        "Published 2017",
}

Genetic Programming entries for Jose Ricardo Cardenas Valdez Emigdio Z-Flores Jose Cruz Nunez Perez Leonardo Trujillo

Citations