Timeline for Evolutionary Algorithms for Noisy Optimization
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Feb 14, 2022 at 1:05 | comment | added | stats_noob | @ Tim: thank you for your reply! Do you have a reference about this point " Gradient descent is more computationally demanding (compared to mutation)" - I have always thought so, but I have never been able to find a reference. Thanks! | |
| Feb 2, 2022 at 9:22 | comment | added | Tim | @stats555 that's not what I said. They were successfully applied to many optimization problems, what I said is just that they are not a solution for computational costly optimization algorithms used nowadays for training neural networks, because those algorithms are used because they are efficient for the problem. | |
| Feb 2, 2022 at 7:44 | comment | added | stats_noob | @ Tim: Thank you so much for your answer! I guess there does not appear to be any clear advantages for evolutionary algorithms on noisy optimization tasks :( | |
| Feb 1, 2022 at 11:55 | history | answered | Tim | CC BY-SA 4.0 |