Evolving conditional branch programs in Tierra-based Asynchronous Genetic Programming

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

@InProceedings{Harada:2012:ISIS,

• author = "Tomohiro Harada and Yoshihiro Ichikawa and Keiki Takadama",
• booktitle = "Soft Computing and Intelligent Systems (SCIS) and 13th International Symposium on Advanced Intelligent Systems (ISIS), 2012 Joint 6th International Conference on",
• title = "Evolving conditional branch programs in Tierra-based Asynchronous Genetic Programming",
• year = "2012",
• pages = "1023--1028",
• month = "20-24 " # nov,
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/SCIS-ISIS.2012.6505032",
• size = "6 pages",
• abstract = "This paper explores the methods which can evolve conditional branch programs in Tierra-based Asynchronous Genetic Programming (TAGP) to improve an evolutionary ability for complex programs. For this purpose, we propose three methods, namely, the label address, the elite preserving strategy with the program size restriction, and the gradient fitness calculation. An intensive experiment on a calculation program evolution reveals the following implications: (1) the label addressing can simply construct the conditional branch; (2) the elite preserving strategy contributes to maintaining the correct programs and the program size restriction prevents the ineffective instructions; and (3) the gradient fitness calculation can correctly evaluate the multiple outputs programs; and (4) the above three methods, however, are difficult to generate the shortest size programs such as sharing instructions with different calculations.",
• notes = "Also known as \cite{6505032}",

}

Genetic Programming entries for Tomohiro Harada Yoshihiro Ichikawa Keiki Takadama

Citations