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Abstract: The solution to many problems requires, or is facilitated by, the use of iteration. Moreover, because iterative steps are repeatedly executed, they must have some degree of generality. An automatic programming system should require that the user make as few problemspecific decisions as possible concerning the size, shape, and character of the ultimate solution to the problem. Work first presented at the Fourth Annual Conference on Evolutionary Programming in 1995 (EP-95) demonstrated that six... (Update)
Context of citations to this paper: More
.... creating operations, automatically defined functions (Koza 1994a, 1994b, 1994c) iteration performing branches (Koza 1994a, Koza and Andre 1996), named memory (Koza 1992, 1994a) indexed memory (Teller 1994) and most other constructs of ordinary computer programs. Various...
.... assembler [9] Sixth, it has been used to automatically produce code with features such as subroutines, registers, and iterative loops [8]. Seventh, it has been routinely used to manipulate both symbolic and numeric data [6, 7] Basic genetic programming can be briefly...
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BibTeX entry: (Update)
Koza, John R. and Andre, David. 1996b. Evolution of iteration in genetic programming. In Evolutionary Programming V: Proceedings of the Fifth Annual Conference on Evolutionary Programming. Cambridge, MA: MIT Press. In Press. http://citeseer.ist.psu.edu/153818.html More
@inproceedings{ koza96evolution,
author = "John R. Koza and David Andre",
title = "Evolution of iteration in genetic programming",
booktitle = "Evolutionary Programming V: Proceedings of the Fifth Annual Conference on Evolutionary Programming",
publisher = "MIT Press",
editor = "Lawrence J. Fogel and Peter J. Angeline and T Baeck",
year = "1996",
url = "citeseer.ist.psu.edu/153818.html" }
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