📄️ Usage
Import
📄️ Description
The genetic algorithm is a search heuristic that mimics the process of natural selection to find optimal solutions to problems. It operates through mechanisms inspired by biological evolution, eg. selection, crossover, and mutation. This algorithm is particularly effective for solving optimization problems with a large and complex search space.
📄️ Examples
McCormick Function
📄️ References
Baluja, Shumeet, and Rich Caruana. 1995. “Removing the Genetics From the Standard Genetic Algorithm.” In Elsevier eBooks, 38–46. https://doi.org/10.1016/b978-1-55860-377-6.50014-1.