Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Parity problems are widely used as Benchmark problems widely in genetic programming but inherited from the artificial neural network community. Parity is calculated by summing all the binary inputs and reporting if the sum is odd or even. In artificial intelligence, genetic program ...Full description
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Parity problems are widely used as Benchmark problems widely in genetic programming but inherited from the artificial neural network community. Parity is calculated by summing all the binary inputs and reporting if the sum is odd or even. In artificial intelligence, genetic programming (GP) is an evolutionary algorithm-based methodology inspired by biological evolution to find computer programs that perform a user-defined task. It is a specialization of genetic algorithms (GA) where each individual is a computer program. It is a machine learning technique used to optimize a population of computer programs according to a fitness landscape determined by a program's ability to perform a given computational task.