MGA - Minimal Genetic Algorithm (1.1.0)
Genetic algorithms try to solve a computational problem following some principles of organic evolution. This model has educational purposes; it can give us an answer to the simple arithmetic problem on how to find the highest natural number composed by a given number of digits. We approach the task using a genetic algorithm, where the candidate solutions to the problem are represented by agents, that in logo programming environment are usually known as “turtles”.
Release Notes
For the purpose of demonstration, a web-app version of the model can be accessed via the following URL:
http://modelingcommons.org/browse/one_model/5742#model_tabs_browse_nlw
Associated Publications
MGA - Minimal Genetic Algorithm 1.1.0
Submitted by
Cosimo Leuci
Published Jan 30, 2020
Last modified Sep 19, 2020
Genetic algorithms try to solve a computational problem following some principles of organic evolution. This model has educational purposes; it can give us an answer to the simple arithmetic problem on how to find the highest natural number composed by a given number of digits. We approach the task using a genetic algorithm, where the candidate solutions to the problem are represented by agents, that in logo programming environment are usually known as “turtles”.
Release Notes
For the purpose of demonstration, a web-app version of the model can be accessed via the following URL:
http://modelingcommons.org/browse/one_model/5742#model_tabs_browse_nlw