[Kory] has been writing genetic algorithms for a few months now. This in itself isn’t anything unique or exceptional, except for what he’s getting these genetic algorithms to do. [Kory] has been using ...

Hands-On Genetic Algorithms with Python by Eyal Wirsansky is a new book which explores the world of genetic algorithms to solve search, optimization, and AI-related tasks, and improve machine ...

A type of programming that imitates genetic algorithms. Genetic programming uses mutation and replication to produce algorithms that represent the "survival of the fittest." While genetic algorithms ...

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.

We present a genetic algorithm for the multiple-choice integer program that finds an optimal solution with probability one (though it is typically used as a heuristic). General constraints are relaxed ...

[Ron Alsing] wanted to try out some genetic programming, so he created a simple test problem: Could you render the Mona Lisa using just 50 semitransparent polygons? The program starts with a random ...