I guess Im randomly asking but does anyone know a way to get back into an Instagram account? I somehow lost the account password. I appreciate any tips you can offer me!
@Malachi Oakley thanks for your reply. I got to the site on google and Im waiting for the hacking stuff now. Looks like it's gonna take quite some time so I will reply here later when my account password hopefully is recovered.
thank you.... but the percentage is 3/5 = 60% for blue path..... and 40% for red..... the summation of all probabilities must is equal to 100% for the same sample space.
In the last problem , what if both of them go to the longest path and then will come back from it and so on ...? of course I know that when the agents are too many this may occur rarely but when we have few number of agents we should oblige them to go to different path at first time or make them choose it randomly? and also what if we do not know the number of the paths, so what should we done?
Concerning Probabilities. Is it actually 100% certain all Ants will stick to the most efficient route? Or will there nonetheless, even with immensly strong Pheromones, be a stray ant which would decide to take another patch once again? Even if a single ant is irrelevant in the big picture? Cheers
Yes, one problem of this algorithm is trapping in loops if we do not give ants the chanec to choose randomly edges on a graph. I have explained this here: ua-cam.com/video/783ZtAF4j5g/v-deo.html
Excellent tutorial on ACO... the best on youtube
Fantastic explanation. And the "Moment of Silence" part was awesome
:D
I really appreciate your approaches and your sharing of knowledge. Good job man keep it like this I wish you the very best.
I guess Im randomly asking but does anyone know a way to get back into an Instagram account?
I somehow lost the account password. I appreciate any tips you can offer me!
@Justin August instablaster ;)
@Malachi Oakley thanks for your reply. I got to the site on google and Im waiting for the hacking stuff now.
Looks like it's gonna take quite some time so I will reply here later when my account password hopefully is recovered.
@Malachi Oakley It did the trick and I actually got access to my account again. I am so happy:D
Thanks so much, you saved my account!
@Justin August glad I could help xD
Mistake at 17:44. Probabilities for up: 40%, down: 60% , if I am not mistaken.
Opps, or at least, it should be 80 - 20 :D
Aliii bud yani hamishe baram soal bud ke chera in murcheha gomo gur nemishan xd
Fantasic!
You are an inspiration in this field
Don't kill 🐜 s appreciate them... well put
thank you.... but the percentage is 3/5 = 60% for blue path..... and 40% for red..... the summation of all probabilities must is equal to 100% for the same sample space.
dude...!! its so cool, fantastic explanation, best teacher and ever seen in my life.....supeer
I can not thank you enough for your help with modeling concepts. I am gonna be your student on Udemy
This was wonderful. One thing I notice though is that ants don't usually travel in a straight line, even on flat surfaces. Why is this?
Thank you sir. It was easy to follow through.
at 17:48 how can you tell 20% and 90% probability as their sum exceed 100% ???
That is a typo 😁
Thank you～ I have been reading your article recently and it has helped me a lot ：）
Prof. Why u stopped making videos??? They are impressive.
In the last problem , what if both of them go to the longest path and then will come back from it and so on ...? of course I know that when the agents are too many this may occur rarely but when we have few number of agents we should oblige them to go to different path at first time or make them choose it randomly? and also what if we do not know the number of the paths, so what should we done?
Exactly the question i need a answer for too. I don't wan't to blame anyone, but the video was for amateurs...
nice explanation
Please tutorials algorithm next cos it's well explained from here
From now on i'm gonna appreciate the ants. Lol 😂
Can you give an application of ACO in Geometry? Thanks ☺️
Thank you so much Brother. Best explanation ever.
i will definitely appreciate them
My mission accomplished :)
How to make such simulation with moving particles?
how we can detect community in network using ACO
Concerning Probabilities. Is it actually 100% certain all Ants will stick to the most efficient route?
Or will there nonetheless, even with immensly strong Pheromones, be a stray ant which would decide to take another patch once again?
Even if a single ant is irrelevant in the big picture?
Cheers
Yes, one problem of this algorithm is trapping in loops if we do not give ants the chanec to choose randomly edges on a graph. I have explained this here: ua-cam.com/video/783ZtAF4j5g/v-deo.html
Sir, you really explain the things excellent. Thank you very much.
Thanks Ritesh :)
Thank you for this video, But please , do you have its application using MATLAB programming ?
Yes, I have implemented this in Matlab already
@@thealimirjalili do you sell it or you give it to your student ?
AOA sir i also want to run this.kindly tell which framework u used ?
what an excellent explanation.thanks Sir
Hello do you have video on dragonfly algorithm? If u have then pls load
This is really well-taught! Thank You :)
Yeah - appreciate them instead of killing them.
I wish I had a teacher like you in my college
Thanks :)
Very good explanation.Thank u so much.
Very cool
great
They can wait for sometime at the water then the can know the shortest one
Genius!
Thank you for the good explanation, sir what are the ant colony optimization applications plz ?
Any sort of problem with discrete variables.
@@thealimirjalili sir how can we use metaheuristic methods such as WOA which is used for continuous optimization in discrete optimization problems?
I am intrest in swqrm intelligence plz suggest me good links and vedios
There are many nice book including mine :)
Feel like a math pro after watching it
Your comment made me laugh a lot Yi 🤣