Improved Genetic Programming Algorithm

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Cheng:2009:ASIA2,

• author = "Huifang Cheng and Yongqiang Zhang and Fangping Li",
• title = "Improved Genetic Programming Algorithm",
• booktitle = "International Asia Symposium on Intelligent Interaction and Affective Computing, ASIA '09",
• year = "2009",
• month = dec,
• pages = "168--171",
• abstract = "The present study aims at improving the problem solving ability of the canonical genetic programming algorithm. The proposed method can be described as follows. The first investigates initialising population, the second investigates reproduction operator, the third investigates crossover operator, the fourth investigates mutation operation. This approach is examined on two experiments about symbolic regression. The results suggest that the new approach is more effective and more efficient than the canonical one.",
• keywords = "genetic algorithms, genetic programming, canonical genetic programming algorithm, crossover operator, mutation operation, problem solving, reproduction operator, symbolic regression, regression analysis",
• DOI = "doi:10.1109/ASIA.2009.39",
• notes = "Also known as \cite{5376006}",

}

Genetic Programming entries for Huifang Cheng Yongqiang Zhang Fangping Li

Citations