| Christopher Harris and Bernard Buxton. GP-COM: A distributed component-based genetic programming system in C++. In Koza et al. [865], page ? yconf.prog ga96bHarris. |
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Christopher Harris and Bernard Buxton. GP-COM: A distributed component-based genetic programming system in C++. In Koza et al. [865], page ? yconf.prog ga96bHarris.
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Christopher Harris and Bernard Buxton. GP-COM: A distributed component-based genetic programming system in C++. In Koza et al. [1492], page ? yconf.prog ga96bHarris.
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Christopher Harris and Bernard Buxton. GP-COM: A distributed component-based genetic programming system in C++. In Koza et al. [566], page ? y(conf.prog) ga96bHarris. 42 Genetic programming
....raw fitness) raw fitness Population size: 200 Mutation rate: 10 Crossover rate: 60 Terminal Probability: 45 Mutation Terminal Probability: 50 Terminal Probability and Mutate Terminal Probability control the average size of program trees in the population. For a fuller explanation, see [Harris] Results Six runs were made using the GP COM system [Harris] Each run produced an operator that performed well when compared to Canny s Gaussian first derivative approximation. Each run was terminated when an operator of sufficient performance was found, i.e. when an operator had been produced ....
....10 Crossover rate: 60 Terminal Probability: 45 Mutation Terminal Probability: 50 Terminal Probability and Mutate Terminal Probability control the average size of program trees in the population. For a fuller explanation, see [Harris] Results Six runs were made using the GP COM system [Harris]. Each run produced an operator that performed well when compared to Canny s Gaussian first derivative approximation. Each run was terminated when an operator of sufficient performance was found, i.e. when an operator had been produced that exceeded the performance of Canny s operator over the ....
Harris CP, Buxton BF. "GP-COM: A Distributed, Component-Based Genetic Programming System in C++" submitted to GP-96.
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