July 28-31, 1996 · Stanford University
Genetic programming is a domain-independent method for automatic programming that evolves computer programs that solve, or approximately solve, problems. Starting with a primordial ooze of thousands of randomly created computer programs composed of functions and terminals appropriate to a problem, a population of programs is progressively evolved over many generations using the Darwinian principle of survival of the fittest, a sexual recombination operation, and...
John R. Koza is Consulting Professor of Computer Science at Stanford University. David E. Goldberg is Professor of General Engineering at the University of Illinois. David B. Fogel is Chief Scientist at Natural Selection, Inc. in La Jolla, California. Rick L. Riolo is Director of the Computer Laboratory of the Program for Study of Complex Systems at the University of Michigan.
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