Program that demonstrates genetic algorithms using simulated robots via console (written in 2017). The final assignment for my Object-Oriented Programming class and one of my favorite programming ...

[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 much ...

This paper proposes a Genetic Programming based algorithm that can be used to design optimal controllers. The proposed algorithm will be named a Multiple Basis Function Genetic Programming (MBFGP).

In the realms of science and engineering, genetic algorithms have established themselves as versatile algorithms, capable of tackling a diverse range of practical problems and serving as computational ...

GP is a type of evolutionary algorithm that mimics the process of natural selection and variation. It starts with a population of randomly generated symbolic expressions, called individuals, that ...

For this reason, a good tree-generation algorithm is very important to genetic programming. This paper presents two new tree-generation algorithms for genetic programming and for "strongly typed" ...

Abstract: Genetic algorithm and evolutionary programming are two generally used evolutionary algorithms. Due to the difference of their origin, there are a lot of differences between their biologic ...

Genetic programming algorithm can optimise new areas of construction to increase the efficiency of the residential timber construction design process as a whole. For instance, our solution can be ...

Worth pointing out that genetic programming is a branch/ subset of genetic algorithms. Genetic programming is actually a subset of genetic algorithms; however, the difference between the two is ...