In this paper, we resort to the TensorFlow framework investigate benefits of applying data vectorization and fitness caching methods domain evaluation in Genetic Programming. For purpose, an independent engine was developed, TensorGP, along with a testing suite extract comparative timing results across different architectures amongst both iterative vectorized approaches. Our performance benchma...

The aim of genetic programming is to evolve programs or functions (symbolic regression) thanks to artificial evolution. This technique is now mature and can routinely yield results on par with (or even better than) human intelligence. This chapter sums up the basics of genetic programming and outlines the main subtleties one should be aware of in order to obtain good results.

Quantum computers are computational devices that use the dynamics of atomic-scale objects to store and manipulate information. Only a few, small-scale quantum computers have been built to date, but quantum computers can in principle outperform all possible classical computers in significant ways. Quantum computation is therefore a subject of considerable theoretical interest that may also have ...