Online Program Simplification in Genetic Programming

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

@InProceedings{DBLP:conf/seal/ZhangWQ06,

• author = "Mengjie Zhang and Phillip Wong and Dongping Qian",
• title = "Online Program Simplification in Genetic Programming",
• booktitle = "Simulated Evolution and Learning, Proceedings 6th International Conference, SEAL 2006",
• year = "2006",
• pages = "592--600",
• editor = "Tzai-Der Wang and Xiaodong Li and Shu-Heng Chen and Xufa Wang and Hussein A. Abbass and Hitoshi Iba and Guoliang Chen and Xin Yao",
• publisher = "Springer",
• series = "Lecture Notes in Computer Science",
• volume = "4247",
• address = "Hefei, China",
• month = oct # " 15-18",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "3-540-47331-9",
• DOI = "doi:10.1007/11903697_75",
• size = "9 pages",
• abstract = "This paper describes an approach to online simplification of evolved programs in genetic programming (GP). Rather than manually simplifying genetic programs after evolution for interpretation purposes only, this approach automatically simplifies programs during evolution. In this approach, algebraic simplification rules, algebraic equivalence and prime techniques are used to simplify genetic programs. The simplification based GP system is examined and compared to a standard GP system on a regression problem and a classification problem. The results suggest that, at certain frequencies or proportions, this system can not only achieve superior performance to the standard system on these problems, but also significantly reduce the sizes of evolved programs.",

}

Genetic Programming entries for Mengjie Zhang Phillip Wong Dongping Qian

Citations