What are Genetic Algorithms? 

just found this video while learning genetic algorithms for exams, and can't wait for the next video.😊

Biology meets Computer Science. This is so cool.

I am glad to have discovered this channel by chance!

Wow, it's been year since the last video !? Please keep 'em coming! I could swear that you would show the NEAT algorithm in the next video ? Please do it !

Amazing explanation!! Clear and very useful!! Thanks

A nice example for explaining local maxima problem.. watching this from the Algerian Sahara, keep uploading videos

great video! keep up the good work!

That was just wonderful! Thank you for your high-quality work

underrated af

I really like how this went from the absolute basics, until the rarely discussed greedy fitness problem

I'd love if you shared how you made the visuals for this video, particularly what'd you use for the fitness function visualizer and statistics

Absolutely loved the explanation on this one!

this is pretty well made!! thank you

Very cool visualizations. I liked it very much!

Sorry, where's the next episode?

Well explained. Also, the local maximum problem could be solved by using BFS to compute the distance of every legal maze square to the exit, and using that distance as the fitness function. Right?

Really great video!

wow amazing explanations and animations

really interesting, looking forward to jump on the code,. It would be nice to have it in python instead of java but, any one has his own preferences! thanks for the video!

great work friend, thank you and keep it up please

I’m curious how to implement this problem with the visualisations. Seeing is believing, and I’d love to make something like this to begin to comprehend it. Do you have any recommendations or planned tutorials on how we could create this maze problem? Thanks. Subscribed!

Very cool video!

Amazing !

i was using Genetic algorithm to tune a PID controller, my problem is that the values of Kp, Kd, Ki of the PID controller is in decimal values. how do i convert these decimals values to binary values and perform crossover and mutation.

More please.

can you open source the codes for us to experiment with it, codes for the visualize and how did you do such an amazing animations

I would say that more than inspired is an abstraction of the concept of evolution in biology and then it can be generalized in the realm of logic and information theory, starting with a set for population of autonomous agents, called P, and then each of these autonomous agents have information and then they have a process of recombination of this information. With any of these sets you can implement evolution. The obvious example in real life would be biological evolution, another example is ideas and the process of recombination is dialog and the equivalent to species would be culture.

Representation in a maze is harder than you initially think. I'm having trouble trying to do this. Basically how do you know how many genomes/moves an individual should have? Since they can't really ever grow in genome/move count?

What if, instead of a single population whose fitness comes from both proximity and exploration, you split them into 2 subpopulations; explorers and improvers/exploiters. Each only gains fitness from its namesake. However, each generation the culled 50% in both subpopulations are filled children from both subpopulations, so the exploration and exploitation percolate

waiting for next video.

Maybe you should consider multiple species, rather than a single one