Proceedings of the 1st annual conference on Genetic and evolutionary computation

Authors:
John R. Koza
Affiliations:
Stanford University
Venue:
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Year:
1996

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Information Sciences: an International Journal
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Compressed linear genetic programming: empirical parameter study on the Even-n-parity problem

EC'05 Proceedings of the 6th WSEAS international conference on Evolutionary computing

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Abstract

This book of proceedings contains the papers presented at the first genetic programming conference, held at Stanford University on July 28-31, 1996. Genetic programming is an automatic programming technique for evolving computer programs that solve (or approximately solve) problems. Starting with a primordial ooze of thousands of randomly created computer programs composed of appropriate programmatic ingredients, a population of computers programs is progressively evolved over many generations using the Darwinian principle of survival of the fittest, a sexual recombination operation, and occasional mutation.