- author = "W. B. Langdon",
- title = "Better Trained Ants",
- booktitle = "Late Breaking Papers at EuroGP'98: the First European Workshop on Genetic Programming",
- year = "1998",
- editor = "Riccardo Poli and W. B. Langdon and Marc Schoenauer and Terry Fogarty and Wolfgang Banzhaf",
- pages = "11--13",
- address = "Paris, France",
- publisher_address = "School of Computer Science",
- month = "14-15 " # apr,
- publisher = "CSRP-98-10, The University of Birmingham, UK",
- keywords = "genetic algorithms, genetic programming",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/CSRP-98-08.ps.gz",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/antlook_csrp-98-08",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/csrp-98-10.pdf",
- size = "3 pages",
-
abstract = "The problem of programming an artificial ant to follow
the Santa~Fe trail has been repeatedly used as a
benchmark problem. Recently we have shown performance
of several techniques is not much better than the best
performance obtainable using uniform random search. We
suggested that this could be because the program
fitness landscape is difficult for hill climbers and
the problem is also difficult for Genetic Algorithms as
it contains multiple levels of deception.
Here we redefine the problem so the ant is obliged to traverse the trail in approximately the correct order. A simple genetic programming system, with no size or depth restriction, is shown to perform approximately three times better with the improved training function.",
- notes = "EuroGP'98LB part of \cite{Poli:1998:egplb} Also available as CSRP-98-08 langdon:1998:antlook See also \cite{langdon:1998:antlook2TR}",
