A new implementation to speed up Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@InProceedings{Chu:2015:RIVF,
  author =       "Thi Huong Chu and Quang Uy Nguyen",
  booktitle =    "IEEE RIVF International Conference on Computing
                 Communication Technologies - Research, Innovation, and
                 Vision for the Future (2015 RIVF)",
  title =        "A new implementation to speed up Genetic Programming",
  year =         "2015",
  month =        jan,
  pages =        "35--40",
  abstract =     "Genetic Programming (GP) is an evolutionary algorithm
                 inspired by the evolutionary process in biology.
                 Although, GP has successfully applied to various
                 problems, its major weakness lies in the slowness of
                 the evolutionary process. This drawback may limit GP
                 applications particularly in complex problems where the
                 computational time required by GP often grows
                 excessively as the problem complexity increases. In
                 this paper, we propose a novel method to speed up GP
                 based on a new implementation that can be implemented
                 on the normal hardware of personal computers. The
                 experiments were conducted on numerous regression
                 problems drawn from UCI machine learning data set. The
                 results were compared with standard GP (the traditional
                 implementation) and an implementation based on subtree
                 caching showing that the proposed method significantly
                 reduces the computational time compared to the previous
                 approaches, reaching a speedup of up to nearly 200
                 times.",
  keywords =     "genetic algorithms, genetic programming, Clustering
                 algorithms, Hardware, Sociology, Standards, Statistics,
                 Training data, Fitness Evaluation, Speed up",
  DOI =          "doi:10.1109/RIVF.2015.7049871",
  notes =        "Faculty of IT, Le Quy Don University, Hanoi,
                 Vietnam.

                 Also known as \cite{7049871}",
}

Genetic Programming entries for Thi Huong Chu Quang Uy Nguyen

Citations