Skip to content
TrackPodcasts
scienceApr 18, 201757:39pending

8: Evolution and Engineering (Genetic Algorithms)

About this episode

Computation is a nascent science, and as such, looks towards the other sciences for inspiration. Whether it be physics, as in simulated annealing, or, as now is popular, biology, as in neural networks, computer science has shown repeatedly that it can learn great things from other sciences. Genetic algorithms are one such method that is inspired, of course, by biological evolution. So what are genetic algorithms used for? What have they taught us about the natural process of evolution? And how can we use them to improve our world?


--- 


Support this podcast: https://anchor.fm/breakingmathpodcast/support

Get every episode summarized

Each time Breaking Math Podcast publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.

Email me new episodes

Free for 3 shows. No card needed.

Hosts & guests

No transcript yet

This episode has not been transcribed. Request it and it moves to the front of the queue.

8: Evolution and Engineering (Genetic Algorithms)

Breaking Math Podcast

0:00
57:39

More episodes

More from Breaking Math Podcast

View all episodes →