Genetic algorithm (nonfiction): Difference between revisions
Jump to navigation
Jump to search
(Created page with "250px|thumb|"How to Draw Doug" by Ruben Bolling. This cartoon illustrates the fundamental principles of genetic algorithms.In the fie...") |
|||
Line 6: | Line 6: | ||
<gallery mode="traditional"> | <gallery mode="traditional"> | ||
File:Evolved_antenna.jpg|Spacecraft antenna didn't ask to be optimized, would have preferred less efficient but more beautiful design. | |||
</gallery> | </gallery> | ||
Revision as of 07:45, 28 July 2016
In the field of mathematical optimization, a genetic algorithm (GA) is a search heuristic that mimics the process of natural selection. 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.
In the News
Fiction cross-reference
Nonfiction cross-reference
External links:
- Genetic algorithm @ Wikipedia