Evolving choice structures for genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@Article{Wang:2010:IPL,

• author = "Shuaiqiang Wang and Jun Ma and Jiming Liu and Xiaofei Niu",
• title = "Evolving choice structures for genetic programming",
• journal = "Information Processing Letters",
• year = "2010",
• volume = "110",
• number = "20",
• pages = "871--876",
• month = "30 " # sep,
• keywords = "genetic algorithms, genetic programming, Program derivation, Evolutionary computation, Choice structure",
• ISSN = "0020-0190",
• URL = "http://www.sciencedirect.com/science/article/B6V0F-50K5T29-1/2/9ef3031afe03a6d15f2f0a468fca26ec",
• DOI = "doi:10.1016/j.ipl.2010.07.014",
• abstract = "It is quite difficult but essential for Genetic Programming (GP) to evolve the choice structures. Traditional approaches usually ignore this issue. They define some if-structures functions according to their problems by combining if-else statement, conditional criteria and elemental functions together. Obviously, these if-structure functions depend on the specific problems and thus have much low reusability. Based on this limitation of GP, in this paper we propose a kind of termination criterion in the GP process named Combination Termination Criterion (CTC). By testing CTC, the choice structures composed of some basic functions independent to the problems can be evolved successfully. Theoretical analysis and experiment results show that our method can evolve the programs with choice structures effectively within an acceptable additional time.",
• notes = "Also known as \cite{Wang2010871}",

}

Genetic Programming entries for Shuaiqiang Wang Jun Ma Jiming Liu Xiaofei Niu

Citations