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Genetic Programming (1997)
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| Citations: | 1055 - 12 self |
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@MISC{Koza97geneticprogramming,
author = {John R. Koza},
title = {Genetic Programming},
year = {1997}
}
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Abstract
Introduction Genetic programming is a domain-independent problem-solving approach in which computer programs are evolved to solve, or approximately solve, problems. Genetic programming is based on the Darwinian principle of reproduction and survival of the fittest and analogs of naturally occurring genetic operations such as crossover (sexual recombination) and mutation. John Holland's pioneering Adaptation in Natural and Artificial Systems (1975) described how an analog of the evolutionary process can be applied to solving mathematical problems and engineering optimization problems using what is now called the genetic algorithm (GA). The genetic algorithm attempts to find a good (or best) solution to the problem by genetically breeding a population of individuals over a series of generations. In the genetic algorithm, each individual in the population represents a candidate solut
Keyphrases
genetic programming genetic algorithm candidate solut evolutionary process artificial system engineering optimization problem domain-independent problem-solving approach mathematical problem darwinian principle genetic algorithm attempt sexual recombination computer program john holland genetic operation introduction genetic programming
