Difference between revisions of "Genetic algorithm"
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Revision as of 06:26, 25 April 2016
In the field of artificial intelligence, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection.
Description
This heuristic (also sometimes called a metaheuristic) is routinely used to generate useful solutions to optimization and search problems.
Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.
See also
External links
- Genetic algorithm @ Wikipedia
