Brilliant Class, and Prof. also has a very nice sense of humor. :D

I have to say. This is by far the most accessible lecture on this topic with a lot of intuition.

arguably the best lecture on GA available online...great lecturer. There are some lecturers, no matter how much they talk, nobody understands a single thing, and then there are others where even a single word makes sense...this one deff belongs to the later. helped me on my exams..thank you

Hats off.......difficult concept explained in very precise and simple manner.........thanx for the upload....!!!

excellent explanation Sir, i could sit and study in your class for hours.

Thanks a lot for to the point explanation in simple language. I got Basic clear idea of GA. Looking forward to study it in detail

Thank you professor. A teacher, One who Enlightens is equivalent to God. I have been enlightened on this concept by you.

Salute to sir fir finest lecture on GA🙏

nptel lectures are always good and helpful:)

Very fascinating lecture; well delivered 💯

So Coherent, thanks for such pragmatic lecture

There has been a lot of development on GA. Now a day, GA can solve various large-scale complex optimization problems, thanks to the advanced computers. Many thanks Sir for the nice lecture.

@DaoNguyen-ox8cw

4 жыл бұрын

Solving Optimization Problems agree with you

Excellent sir 👏 Even though I am from mechanical engineering, i easily understand.

Superb Video!! Thanks sir for great explanation!!

Thank you sir...Nicely presented.

excellent lecture on GA. I found very useful for my work. Thanks sir.

Why was Residual defined at 51:49 ?? Can someone plz explain this !

Really an excellent lecture. Thank you so much

Thank you a lot for this video, Sir, plz I have an issue concerning optimization by genetic algorithm that I want to maximize the determinant of a matrix 3x3 importing data from txt file including over than 200 values. I will be very thankful to your response. Salutations.

Very nice and informative lecture. Thanks

What is the purpose of mutation.. Because it's not calculated in question

such an excellent teacher..

what's the date of this lecture ?

thanks alot for this beautifl lecture , it was very useful to me

video 47:44 till the end... nothing able to understand... anybody help me

Hats off sir, Your teaching style showed your love for subject

Thank you! The best!

Thank you sir ..... suggest a video for clustering sigmentation

very good lecture. :)

very very good and useful

please arrange some lecture on particle swarm optimaization

Plus amazing teacher too.

Nice explaination

The lecture might be well planned or unnecessary parts might be trimmed.

Variety is spice of life.. :D lol Btw nice lecture...

Amazing sense of humor.

Artificial Machines can reproduce in theory. Read about the recursion theorem and turing machines.

Hi do you have E-posta

Damn good explanation....

Thanks for this video sir,,,, beautiful concept. but having a very small doubt sir... what we have to do if we get two same guys after mutation.. i have got same strings in new population how we have to take count for it

@pavan540

8 жыл бұрын

this is awesome... blew my mind

Sir,how to consider fitness function for colouring problem

evolutionary neural networks. Good tips!

This is good stuff ;) ..

very much intresting.....

only nptel course which i cannot watch at 2X

@adilshamim3943

3 жыл бұрын

😂True but it needed not to be watched at 2x as it is so engaging

very nice algorithm

SIR, THANK YOU SO MUCH

40:27 Loved it

Am I high or is he? Jokes apart, What a brilliant lecture and what a brilliant guy

Awesome lecture never felt like inside a class..... it was like listening a story while learning ........... but please somebody tell him he is on camera......... losing belt would only make his student laugh........ and put IIT on shame.....

im a slowpoke

Books are cheap in India

mate pool,actual count, cross over site, new population - all these values how do they came... exhausted try to understand them... unclear explanation

A property of GAs is that they manipulate a population all at once, which can have major advantages for certain problems with poor initial structure when novel solutions are needed, but GAs do not tend to find global optima in well-structured problems very well. There is, of course, no proof that evolution ever finds global optima, and likewise, GAs do not necessarily do particularly well at global optimization. Simulated annealing tends to find global optima much better.

sorry the speach is Not possible to understand

Gligkutigugigigikuligigigi I cannot understand any word.

arey badcow explain clearly

@breakingkamelot

7 жыл бұрын

Telugu valani thidtharu antey endhuku thitar ra nee lanti badcow online unte.u r a disgrace man.

@otmanfaatih5596

5 жыл бұрын

For me, He is a great professor John himself he didn't explain well as the way the professor explain it here. You have to respect yourself.

very very good and useful