Sequence Generation Using Machine Language Evolved by Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7615

@InProceedings{johnson:2002:SEAL,

• author = "Martin Johnson",
• title = "Sequence Generation Using Machine Language Evolved by Genetic Programming",
• booktitle = "Procceedings of the 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL'02)",
• year = "2002",
• editor = "Lipo Wang and Kay Chen Tan and Takeshi Furuhashi and Jong-Hwan Kim and Xin Yao",
• pages = "\#1251",
• address = "Orchid Country Club, Singapore",
• month = "18-22 " # nov,
• keywords = "genetic algorithms, genetic programming",
• ISBN = "981-04-7522-5",
• URL = "http://www.worldcat.org/title/seal02-proceedings-of-the-4th-asia-pacific-conference-on-simulated-evolution-and-learning-november-18-22-2002-orchid-country-club-singapore/oclc/51951214",
• abstract = "This paper presents a method for evolving simple machine language programs which generate mathematical sequences. The machine language used is a restricted subset of x86 code and programs are recursive, terminating when a fixed size stack overflows. A program has the use of 4 registers and must write its output into a small section of memory. Programs evolve using a topological neighbourhood. Examples are shown for power and Fibonacci sequences where the system evolves interesting solutions unlike those that would be found be a human programmer. The frequent random replacement of part of the population is investigated as a mechanism for avoiding local minima in the search space.",
• notes = "SEAL 2002 see http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.200.6410&rep=rep1&type=pdf",

}

Genetic Programming entries for Martin Johnson

Citations