thank you very much but if we had a Cost function in simulink, what should we do then?

this is one of the best videos on the topic. Awesome work, Professor

mastapha nice work

just amazing teacher... could you please cover topics on bee colony algorithm???

Hi please can I have your gmail thank you

Muchas Gracias!!...excelente

Thank you sir for this cristal clear explanation, this can only be performed by a master, that's the art of explainning difficult things as if they were easy. I wonder if you could do at least an introduction is Stochastic adaptive search. Thank you so much

this video its very interesting but i doont know how to get digit data.csv and what component the digit data.csv?? thank you

I tried to optimise Layeb01 function. It's actual search domain is -100 to 100. If I take search domain -35 to 35 it works well. But if I take search domain -40 to 40 or more than that then error cones

Thank you Sir. I tried this code and it really worked. But I tried a new function for my research work with this PSO code but it is giving error. I have been trying it for many days but couldn't find the problem. Can I send you mail you the problem

I tried to optimise Layeb01 function. This code optimizes it till nVar is taken as less than or equal to 3. But if we take more than 3, say 10, then it gives error of Position

More than beautiful !

Cool

Thanks so much sir. Please if do not mind making Episode about Nelder Mead Simplex optimization method

Please if you don’t mind doing lecture about Nelder Mead Simplex Method. Thanks so much

When I add this part: % % Update global best % if particle(i).Best.Cost < GlobalBest.Cost % GlobalBest = particle(i).Best; % end in the MAIN LOOP OF PSO, something goes wrong because my positions are not in the range -10 to 10 anymore. e.g. Particle(x).position = [-7748.05355551422,19106.2466328038,-173.246225196285,-665.920732417208,-15950.8912609155] Before that, it's all good. is it normal? I'm using the same cost function, variables, and boundaries.

Hi, Thank you for your help. Great explanation. Please, can you tell me which one are the final optimized or minimized variables then? What is the output. Thank you!

great video!

អរគុណ Thank❤

thanks nice lesson

Thank you so much! This was incredibly helpful, explained pretty well and slow enough for even me to get how Runge-kutta-4 works. You seriously saved me here :) Keep up the great work!

Great! Thanks :)

Best introduction turial on GA in Yoyube. Thank you.

Where are you from ?

so nice explanation with proper example. thank for that.

wonderful sir so help full thank you very mach

I never had twin uuuuu. Ouixeac. Oufit I hate. Ta TT

Nice video sir i want to Marge this pso with minimum completion time algorithm please suggest me how to Marge this code.

Nicely described Perfect lecture I should really proud people from my nationality are so active in different fields of science

pls explain this question me ( implementing 0<= X<1024 , find a max (X^2) using above steps (selection, cross over, mutation , new population, check whether, reproduction)

Very very good! Thank you so much!

Thank you very much. How can we make it multi-objective? let us say best cost and time.

Hi sir, you have share great video, and also how we integrate or interface pso with pid controller in dc-dc converter? thank you for your consideration sir.!

SIR CAN YOU PLEASE EXPLAIN TUNICATE SWARM OPTIMIZATION ALGORITHM

Why z = L ?

I created breakpoint, so red dot appeared. But i don't know how to run upto the breakpoint. What did you do to get green arrow nearer to red dot?

19:47 still in pain, ... can u explain retalius, why this becoming C2S² => C2NS²

Unable to code at 20:43 time slot. Out code is unable to simulate

thank you sir. this is 10/10

Thank you!

Great explanation. May I know how one can include non-linear constraints subject to the objective function in an n-times decision variables please?

آللاه سنه عومور ورسین قارداش :)

thnx🤍

thank you a looooooot , you really helped me improve my coding skills , you're doin a great job ❤❤

( الله خالق كل شيء وهو على كل شيء وكيل له مقاليد السماوات والأرض والذين كفروا بآيات الله أولئك هم الخاسرون قل أفغير الله تأمروني أعبد أيها الجاهلون ولقد أوحي إليك وإلى الذين من قبلك لئن أشركت ليحبطن عملك ولتكونن من الخاسرين بل الله فاعبد وكن من الشاكرين )

That was fantastic. Clear and profesional

nicely explained

your videos are great, I'm subbing for sure. Thanks very much for putting these up, they're very helpful!

how to write the function handle with value

hello i need some help in my these ( PSO method)