Parity benchmark

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. This is considered difficult because:

1. a very simple artificial neural network cannot solve it and
2. all inputs need to be considered and a change to any one of them changes the answer.

Additional recommended knowledge

Safe Weighing Range Ensures Accurate Results

Essential Laboratory Skills Guide

Guide to balance cleaning: 8 simple steps

References

• Foundations of Genetic Programming