- author = "Bart Wyns and Luc Boullart and Pieter Jan {De Smedt}",
- title = "Limiting code growth to improve robustness in tree-based genetic programming",
- booktitle = "GECCO '07: Proceedings of the 9th annual conference on Genetic and evolutionary computation",
- year = "2007",
- editor = "Dirk Thierens and Hans-Georg Beyer and Josh Bongard and Jurgen Branke and John Andrew Clark and Dave Cliff and Clare Bates Congdon and Kalyanmoy Deb and Benjamin Doerr and Tim Kovacs and Sanjeev Kumar and Julian F. Miller and Jason Moore and Frank Neumann and Martin Pelikan and Riccardo Poli and Kumara Sastry and Kenneth Owen Stanley and Thomas Stutzle and Richard A Watson and Ingo Wegener",
- volume = "2",
- isbn13 = "978-1-59593-697-4",
- pages = "1763--1763",
- address = "London",
-
URL = "
http://gpbib.cs.ucl.ac.uk/gecco2007/docs/p1763.pdf",
-
DOI = "
doi:10.1145/1276958.1277313",
- publisher = "ACM Press",
- publisher_address = "New York, NY, USA",
- month = "7-11 " # jul,
- organisation = "ACM SIGEVO (formerly ISGEC)",
- keywords = "genetic algorithms, genetic programming: Poster, artificial ant, representational bias, robustness, bloat",
- abstract = "In this paper we analyse the composition of the function set of the artificial ant problem to define new training and testing trails similar to the Santa Fe trail. Cross-validation is used in applications where large amounts of data are available. We also use a semantically driven growth limiter to reduce program size and check if growth reduction could lead to increased test performance.",
-
notes = "GECCO-2007 A joint meeting of the sixteenth
international conference on genetic algorithms
(ICGA-2007) and the twelfth annual genetic programming
conference (GP-2007).
ACM Order Number 910071",
