Hands-On Genetic Algorithms with Python by Eyal Wirsansky is a new book which explores the world of genetic algorithms.

This throws a wrench in [Kory]’s plan to have his computer programming computer grow smarter and get over local minima in its genetic algorithms.

[Kory] has been experimenting with genetic algorithms. Normally we’d expect his experiments to deal with tuning the variables in a control system or something, but he’s doing something … ...

Genetic programming uses mutation and replication to produce algorithms that represent the "survival of the fittest." While genetic algorithms yield numbers, genetic programs yield ever-improving ...

Cartesian Genetic Programming (CGP) is a robust evolutionary algorithm that represents computational solutions as directed graphs, incorporating redundant genes to enhance the efficiency of its ...

Not surprisingly, genetic programming has been used to “evolve” complex regular expressions from data and the Web site Regex Generator++ demonstrates the technique.

Genetic programming algorithm can optimise new areas of construction to increase the efficiency of the residential timber construction design process as a whole.

A. Bolat, Models and a Genetic Algorithm for Static Aircraft-Gate Assignment Problem, The Journal of the Operational Research Society, Vol. 52, No. 10 (Oct., 2001), pp. 1107-1120 ...