The promoter based genetic algorithm (PBGA) is a genetic algorithm for neuroevolution developed by F. Bellas and R.J. Duro in the (GII) at the University of Coruña, in Spain. It evolves variable size feedforward artificial neural networks (ANN) that are encoded into sequences of genes for constructing a basic ANN unit. Each of these blocks is preceded by a gene promoter acting as an on/off switch that determines if that particular unit will be expressed or not.
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| - Promoter Based Genetic Algorithm (es)
- Promoter based genetic algorithm (en)
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| - El Promoter Based Genetic Algorithm (PBGA) es un algoritmo genético para neuroevolución desarrollado por F. Bellas y R.J. Duro en la Universidade da Coruña. El PBGA evoluciona una perceptrón multicapa de tamaño variable que se codifica en secuencias de genes para construir las unidades básicas que crean la red. Cada unidad neuronal básica está precedida de un gen promotor que actúa como un interruptor determinando si esa unidad en concreto se muestra o no en la red resultante. (es)
- The promoter based genetic algorithm (PBGA) is a genetic algorithm for neuroevolution developed by F. Bellas and R.J. Duro in the (GII) at the University of Coruña, in Spain. It evolves variable size feedforward artificial neural networks (ANN) that are encoded into sequences of genes for constructing a basic ANN unit. Each of these blocks is preceded by a gene promoter acting as an on/off switch that determines if that particular unit will be expressed or not. (en)
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| - El Promoter Based Genetic Algorithm (PBGA) es un algoritmo genético para neuroevolución desarrollado por F. Bellas y R.J. Duro en la Universidade da Coruña. El PBGA evoluciona una perceptrón multicapa de tamaño variable que se codifica en secuencias de genes para construir las unidades básicas que crean la red. Cada unidad neuronal básica está precedida de un gen promotor que actúa como un interruptor determinando si esa unidad en concreto se muestra o no en la red resultante. (es)
- The promoter based genetic algorithm (PBGA) is a genetic algorithm for neuroevolution developed by F. Bellas and R.J. Duro in the (GII) at the University of Coruña, in Spain. It evolves variable size feedforward artificial neural networks (ANN) that are encoded into sequences of genes for constructing a basic ANN unit. Each of these blocks is preceded by a gene promoter acting as an on/off switch that determines if that particular unit will be expressed or not. (en)
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