@inproceedings{DBLP:conf/icai/AbbottPS04,
title = {Genetic Programming Reconsidered},
address = {Las Vegas, Nevada, USA},
author = {Russ Abbott and Behzad Parviz and Chengyu Sun},
booktitle = {Proceedings of the International Conference on
Artificial Intelligence, IC-AI '04, Volume 2 {\&}
Proceedings of the International Conference on Machine
Learning; Models, Technologies {\&} Applications, MLMTA
'04},
editor = {Hamid R. Arabnia and Youngsong Mun},
month = {June 21-24},
pages = {1113--1116},
publisher = {CSREA Press},
url = {http://abbott.calstatela.edu/PapersAndTalks/GeneticProgrammingReconsidered.pdf},
volume = {2},
year = {2004},
abstract = {Even though the Genetic Programming (GP) mechanism is
capable of evolving any computable function, the means
through which it does so is inherently flawed: the user
must provide the GP engine with an evolutionary pathway
toward a solution. Hence Genetic Programming is
problematic as a mechanism for generating creative
solutions to specific problems.},
bibsource = {DBLP, http://dblp.uni-trier.de}, size = {4 pages}, isbn = {1-932415-32-7}, notes = {sort, fitness function cheat
},
keywords = {adaptive algorithms, evolution evolution, evolutionary fitness function, genetic pathway, programming, teleological }
}
::