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#85: Genetic algorithm: natural selection helps to solve coding problems
Manage episode 341069854 series 2680464
Content provided by Tomasz Nurkiewicz. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tomasz Nurkiewicz or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
A genetic algorithm is a heuristic approach to solving complex computational problems. This includes various optimizations, especially around scheduling and design. For example, NASA designed a radio antenna for their spacecraft using a genetic algorithm. Its shape is quite complicated, like nothing that could be designed by hand. So how do genetic algorithms work their way to the solution? Well, they are inspired by the natural selection process in living creatures (!)
Read more: https://nurkiewicz.com/85
Get the new episode straight to your mailbox: https://nurkiewicz.com/newsletter
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Manage episode 341069854 series 2680464
Content provided by Tomasz Nurkiewicz. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Tomasz Nurkiewicz or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
A genetic algorithm is a heuristic approach to solving complex computational problems. This includes various optimizations, especially around scheduling and design. For example, NASA designed a radio antenna for their spacecraft using a genetic algorithm. Its shape is quite complicated, like nothing that could be designed by hand. So how do genetic algorithms work their way to the solution? Well, they are inspired by the natural selection process in living creatures (!)
Read more: https://nurkiewicz.com/85
Get the new episode straight to your mailbox: https://nurkiewicz.com/newsletter
98 episodes
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Similar to Around IT in 256 seconds
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