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

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@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