Function Sequence Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7917

@InProceedings{conf/icic/WangCW09,

• title = "Function Sequence Genetic Programming",
• author = "Shixian Wang and Yuehui Chen and Peng Wu",
• booktitle = "5th International Conference on Intelligent Computing, ICIC 2009",
• year = "2009",
• volume = "5755",
• editor = "De-Shuang Huang and Kang-Hyun Jo and Hong-Hee Lee and Hee-Jun Kang and Vitoantonio Bevilacqua",
• series = "Lecture Notes in Computer Science",
• pages = "984--992",
• address = "Ulsan, South Korea",
• month = sep # " 16-19",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, Function Sequence Genetic Programming, factorial problem, stock index prediction",
• isbn13 = "978-3-642-04019-1",
• DOI = "doi:10.1007/978-3-642-04020-7_106",
• bibdate = "2009-09-25",
• bibsource = "DBLP, http://dblp.uni-trier.de/db/conf/icic/icic2009-2.html#WangCW09",
• abstract = "Genetic Programming(GP) can obtain a program structure to solve complex problem. This paper presents a new form of Genetic Programming, Function Sequence Genetic Programming (FSGP). We adopt function set like Genetic Programming, and define data set corresponding to its terminal set. Besides of input data and constants, data set include medium variables which are used not only as arguments of functions, but also as temporary variables to store function return value. The program individual is given as a function sequence instead of tree and graph. All functions run orderly. The result of executed program is the return value of the last function in the function sequences. This presentation is closer to real handwriting program. Moreover it has an advantage that the genetic operations are easy implemented since the function sequence is linear. We apply FSGP to factorial problem and stock index prediction. The initial simulation results indicate that the FSGP is more powerful than the conventional genetic programming both in implementation time and solution accuracy.",

}

Genetic Programming entries for Shixian Wang Yuehui Chen Peng Wu

Citations