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
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.
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.
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
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.....
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.
Brilliant Class, and Prof. also has a very nice sense of humor. :D
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
I have to say. This is by far the most accessible lecture on this topic with a lot of intuition.
Hats off.......difficult concept explained in very precise and simple manner.........thanx for the upload....!!!
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.
Solving Optimization Problems agree with you
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:)
excellent explanation Sir, i could sit and study in your class for hours.
Excellent sir 👏
Even though I am from mechanical engineering, i easily understand.
Why was Residual defined at 51:49 ??
Can someone plz explain this !
video 47:44 till the end... nothing able to understand... anybody help me
Hats off sir, Your teaching style showed your love for subject
Very fascinating lecture; well delivered 💯
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
So Coherent, thanks for such pragmatic lecture
excellent lecture on GA. I found very useful for my work. Thanks sir.
Superb Video!! Thanks sir for great explanation!!
Thank you sir...Nicely presented.
Thank you sir ..... suggest a video for clustering sigmentation
The lecture might be well planned or unnecessary parts might be trimmed.
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.
Amazing sense of humor.
Variety is spice of life.. :D lol
Btw nice lecture...
What is the purpose of mutation..
Because it's not calculated in question
Very nice and informative lecture. Thanks
Really an excellent lecture. Thank you so much
what's the date of this lecture ?
such an excellent teacher..
Artificial Machines can reproduce in theory. Read about the recursion theorem and turing machines.
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
this is awesome... blew my mind
thanks alot for this beautifl lecture , it was very useful to me
only nptel course which i cannot watch at 2X
😂True but it needed not to be watched at 2x as it is so engaging
please arrange some lecture on particle swarm optimaization
evolutionary neural networks. Good tips!
Nice explaination
Plus amazing teacher too.
very very good and useful
Hi do you have E-posta
Damn good explanation....
Sir,how to consider fitness function for colouring problem
very good lecture. :)
Thank you! The best!
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.....
40:27 Loved it
Am I high or is he? Jokes apart, What a brilliant lecture and what a brilliant guy
SIR, THANK YOU SO MUCH
very much intresting.....
This is good stuff ;) ..
very nice algorithm
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.
im a slowpoke
mate pool,actual count, cross over site, new population - all these values how do they came... exhausted try to understand them... unclear explanation
Books are cheap in India
Gligkutigugigigikuligigigi I cannot understand any word.
sorry the speach is Not possible to understand
arey badcow explain clearly
Telugu valani thidtharu antey endhuku thitar ra nee lanti badcow online unte.u r a disgrace man.
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