Data Science - Part XIV - Genetic Algorithms

[@krisk03]

Amazing explanation ! I was clueless about genetic algorithms. I came straight to your channel, watched this video, didn't regret even for a second. Thanks a lot ! Please make more videos on these topics.

[@eyobmel]

This is a very good lecture that gives me a clue about GA. If possible it could be good to add some lecture videos on an application of GA in Water Resources Engineering like Reservoir Operation & Establishing optimal Rule Curve and also on optimization of Lake water resources for multiple objectives like agriculture and hydro-power especially when these development objectives are computing to the same reservoir resources. Please give examples on the coding practices of such problems.

[@sebdot-hoz]

Super clear and high level! Good stuff

[@harun4918]

what a genetic algorithm could be forecasting/prediction ?

[@assamkhirani7424]

I'm wondering if you can solve the flowshop scheduling problem with GA ?

[@tonycatman]

If you are talking about the job scheduling problem, then I can tell you that we used a GA to find a good solution. The problem itself is NP-Hard, so we couldn't work out how good our schedules are compared to the mathematical optimum. We almost certainly end up at a local, non-global optimum, for each schedule, but my guess is that it is consistently better than a human would come up with. We waded through a number of papers before striking on a solution of our own. We didn't follow a published solution, but were reassured that most people seem to think that a GA gives the right approach.

[@rishabhsharma329]

Where do we get the fat data ?

[@MaZe741]

Isnt that mona lisa picture generated using ONLY CIRCLES? I dont see any polygons other than circles.

[@DerekKaneDataScience]

+Random Schmid Yes it is. Pretty cool right?

[@mrsloth-qw8pt]

When is the tutorial coming?

[@rushikeshbulbule8120]

Thanks a lot keep uploading

[@Abouelela1]

This is simply amazing. Thanks a lot

[@liguangyu6610]

This is really good, thank you so much!

[@DerekKaneDataScience]

+Li Guangyu Thank you so much for your kind words and I appreciate them. Keep on pressing forward and good luck.

[@ferhatmetin3124]

Thank you so much,this is really amazing

[@user-fy5go3rh8p]

Very helpful, thank you!

[@jasonk334ever]

really wish you would fix all the static so it wasn't so hard to listen

[@scadatan7574]

thanks for the explanation

[@DerekKaneDataScience]

+Scada Tan Thanks for reaching out and I hope that you are finding this somewhat useful.

[@JohnDoe-ze8po]

Good video! I didnt really follow the code part.. psudo code might have been a better choice..

[@mikagdl]

I traced these examples to a book that was written 21 years ago, everybody repeats the same examples all over the internet... dont even bother changing the pics :-(