An alternative approach for neural network evolution with a genetic algorithm: Crossover by combinatorial optimization

In this work we present a new approach to crossover operator in the genetic evolution of neural networks. The most widely used evolutionary computation paradigm for neural network evolution is evolutionary programming. This paradigm is usually preferred due to the problems caused by the application...

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