. Genetic annealing is a type of artificial intelligence based on the principles of evolutionary biology. It is a technique used to optimize or find the best solution to a complex problem by allowing computer algorithms to mimic the process of natural selection. This algorithm iteratively combines and evaluates gen…
. Genetic annealing is a type of artificial intelligence based on the principles of evolutionary biology. It is a technique used to optimize or find the best solution to a complex problem by allowing computer algorithms to mimic the process of natural selection. This algorithm iteratively combines and evaluates genetic information to search for the best solutions by randomly selecting solutions, testing them, and allowing the solutions that test best to advance to the next round of testing. This method has been applied in a variety of areas, including economic forecasting, medical diagnosis, and stock market data analysis. By allowing computers to simulate the process of natural selection, it can allow for more accurate solutions to be obtained in a more efficient manner.
2 peer-reviewed articles, ranked by relevance. Each links to its DOI.
The 2 articles above have been cited 6 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
A sample of recent works citing this journal's research on Genetic Annealing, linking to each citing work.