An Improved Parallel Algorithm of Genetic Programming Based on the Framework of MapReduce

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

@InProceedings{Zhang:2015:CyberC,
  author =       "Song Zhang and Jun Ma2 and Yang-Yang Zhao and 
                 Qiong Liu",
  booktitle =    "2015 International Conference on Cyber-Enabled
                 Distributed Computing and Knowledge Discovery
                 (CyberC)",
  title =        "An Improved Parallel Algorithm of Genetic Programming
                 Based on the Framework of MapReduce",
  year =         "2015",
  pages =        "221--225",
  abstract =     "Genetic programming lacks convergence prematurely and
                 operating efficiency. This paper is to study this
                 problem that integrates the genetic programming theory
                 with the framework of Map/Reduce. This is to improve
                 the efficiency by parallel and distributed capability
                 proved by Map/Reduce. Our experiments show that the
                 improved parallel algorithm of genetic programming
                 under the framework of Map/Reduce has the better
                 performance than the conventional approaches.",
  keywords =     "genetic algorithms, genetic programming",
  DOI =          "doi:10.1109/CyberC.2015.37",
  month =        sep,
  notes =        "Zhang Song ; BeiJing NUMBERONE Technol. Dev. Co.,
                 Ltd., Beijing, China ; Ma Jun ; Zhao Yang-Yang ; Liu
                 Qiong

                 Also known as \cite{7307816}",
}

Genetic Programming entries for Song Zhang Jun Ma2 Yang-Yang Zhao Qiong Liu

Citations