Very nice and intuitive explanation!👍 Could you maybe specifiy why it is important that your points on the pareto front are well distributed and how that should help improving the performance of the model? Thanks in advance!
Great video! Imagine you give a final population size as input to a heuristic, let's say 50, and it produces less non-dominated solutions, let's say 30. How do you choose on which population you use the measure (whole population or non-dominated subset)? Obviously for some measure it should give the same value, e.g. hypervolume I guess, but surely that won't be the case in general. And how do you deal with measures that require to know the Pareto front like GD and IGD? Also, how many points should be taken on the Pareto front? Same size as the non-dominated population, or same size as the input population size, maybe much more?
![NSGA-II Optimization: Understand fast how it works [complete explanation]](http://i.ytimg.com/vi/SL-u_7hIqjA/mqdefault.jpg)
![NSGA-II Optimization: Understand fast how it works [complete explanation]](/img/tr.png)
Very nice and intuitive explanation!👍
Could you maybe specifiy why it is important that your points on the pareto front are well distributed and how that should help improving the performance of the model? Thanks in advance!
Video fast so stabil wie die Frisur ❤️
finally learnt something about the Measurement Metrics ! Ehre geht raus
Thanks you are awesome
Plz explain the c-metric GD, IGD
Can I average the hyper volume over a number of runs to get an statistically relevant performance metrics?
Please create video to calculate inverted generation distance for multi objective Optimisation
Great video!
Imagine you give a final population size as input to a heuristic, let's say 50, and it produces less non-dominated solutions, let's say 30. How do you choose on which population you use the measure (whole population or non-dominated subset)? Obviously for some measure it should give the same value, e.g. hypervolume I guess, but surely that won't be the case in general.
And how do you deal with measures that require to know the Pareto front like GD and IGD? Also, how many points should be taken on the Pareto front? Same size as the non-dominated population, or same size as the input population size, maybe much more?