Genetic algorithm (nonfiction): Difference between revisions
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* [https://en.wikipedia.org/wiki/Genetic_algorithm Genetic algorithm] @ Wikipedia | * [https://en.wikipedia.org/wiki/Genetic_algorithm Genetic algorithm] @ Wikipedia | ||
* [https://en.wikipedia.org/wiki/Ruben_Bolling Rubin Bolling] @ Wikipedia | * [https://en.wikipedia.org/wiki/Ruben_Bolling Rubin Bolling] @ Wikipedia | ||
* [http://boingboing.net/2016/07/27/super-fun-pak-comix-feat-how.html ''Super-Fun-Pak Comix'' by Ruben Bolling] @ YouTube | |||
=== Social media === | === Social media === | ||
Revision as of 03:49, 8 June 2023
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
Joe's Antenna didn't ask to be optimized, would have preferred less efficient but more beautiful design.
Fiction cross-reference
Nonfiction cross-reference
External links
- Genetic algorithm @ Wikipedia
- Rubin Bolling @ Wikipedia
- Super-Fun-Pak Comix by Ruben Bolling @ YouTube