
Sign up to save your podcasts
Or


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
By Autumn Phaneuf & Noah Giansiracusa4
329329 ratings
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

863 Listeners

1,705 Listeners

1,952 Listeners

945 Listeners

321 Listeners

838 Listeners

544 Listeners

363 Listeners

1,065 Listeners

83 Listeners

4,167 Listeners

2,367 Listeners

323 Listeners

384 Listeners

497 Listeners