- author = "Esteban Ricalde and Katya Rodr\'{\i}guez V\'{a}zquez",
- title = "A {GP} neutral function for the artificial {ANT} problem",
- booktitle = "Late breaking paper at Genetic and Evolutionary Computation Conference {(GECCO'2007)}",
- year = "2007",
- month = "7-11 " # jul,
- editor = "Peter A. N. Bosman",
- isbn13 = "978-1-59593-698-1",
- pages = "2565--2571",
- address = "London, United Kingdom",
- keywords = "genetic algorithms, genetic programming, evolutionary computation, neutrality, Santa Fe ant",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p2565.pdf",
-
DOI = "
doi:10.1145/1274000.1274026",
- publisher = "ACM Press",
- publisher_address = "New York, NY, USA",
- size = "7 pages",
-
abstract = "This paper introduces a function that increases the
amount of neutrality (inactive code in Genetic
Programming) for the Artificial Ant Problem. The
objective of this approach is to try to smooth the
ridged fitness landscape of the Santa Fe trail.
Several experiments were carried out with different crossover and mutation rates, in order to identify the better settings to solve this problem and to compare the normal representation and the one proposed in this paper. The results indicate that the proposed approach is better than the conventional one.
Also the difference between per individual and per node mutation is showed and a way to relate them is pointed out.",
- notes = "Distributed on CD-ROM at GECCO-2007 ACM Order No. 910071",
