# Evolving Control Structures with Automatically Defined Macros

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{spector:1995:ADM,
author =       "Lee Spector",
title =        "Evolving Control Structures with Automatically Defined
Macros",
booktitle =    "Working Notes for the AAAI Symposium on Genetic
Programming",
year =         "1995",
editor =       "E. V. Siegel and J. R. Koza",
pages =        "99--105",
address =      "MIT, Cambridge, MA, USA",
publisher_address = "445 Burgess Drive, Menlo Park, CA 94025, USA",
month =        "10--12 " # nov,
publisher =    "AAAI",
keywords =     "genetic algorithms, genetic programming",
URL =          "http://www.aaai.org/Papers/Symposia/Fall/1995/FS-95-01/FS95-01-014.pdf",
URL =          "http://citeseer.ist.psu.edu/spector95evolving.html",
URL =          "http://www.aaai.org/Library/Symposia/Fall/fs95-01.php",
size =         "7 pages",
abstract =     "Koza has previously shown that the power of a genetic
programming system can often be enhanced by allowing
for the simultaneous evolution of a main program and a
collection of automatically defined functions (ADFs).
In this paper I show how related techniques can be used
to simultaneously evolve a collection of automatically
produce new control structures during the evolution of
a program, and I present data showing that ADMs
sometimes provide a greater benefit than do ADFs. I
discuss the characteristics of problems that may
benefit most from the use of ADMs, or from