Genetic Algorithm with Solved Example(Selection,Crossover,Mutation)

#geneticalgorithm #softcomputing #machinelearning #datamining #neuralnetwork
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What is Genetic Algorithm?
Flow Chart for the Algorithm
Genetic Operators-Selection, Crossover, Mutation
Solved Example
Introduction:1.1 Biological neurons, McCulloch and Pitts models of neuron, Types
of activation function, Network architectures, Knowledge representation, Hebb net
1.2 Learning processes: Supervised learning, Unsupervised learning and
Reinforcement learning
1.3 Learning Rules : Hebbian Learning Rule, Perceptron Learning Rule, Delta
Learning Rule, Widrow-Hoff Learning Rule, Correlation Learning Rule, WinnerTake-All Learning Rule
1.4 Applications and scope of Neural Networks
10
2
Supervised Learning Networks :
2.1 Perception Networks - continuous & discrete, Perceptron convergence theorem,
Adaline, Madaline, Method of steepest descent, - least mean square algorithm,
Linear & non-linear separable classes & Pattern classes,
2.2 Back Propagation Network,
2.3 Radial Basis Function Network.
12
3
Unsupervised learning network:
3.1 Fixed weights competitive nets,
3.2 Kohonen Self-organizing Feature Maps, Learning Vector Quantization,
3.3 Adaptive Resonance Theory - 1
06
4
Associative memory networks:
4.1 Introduction, Training algorithms for Pattern Association,
4.2 Auto-associative Memory Network, Hetero-associative Memory Network,
Bidirectional Associative Memory,
4.3 Discrete Hopfield Networks.
08
5
Fuzzy Logic:
5.1 Fuzzy Sets, Fuzzy Relations and Tolerance and Equivalence
5.2 Fuzzification and Defuzzification
5.3 Fuzzy Controllers

[@VikramSingh-rh5kg]

This guy explained the same thing in 10 minutes what my teacher could not explain in 1 semester

[@tharuneshreddy5246]

Ha bhai

[@hlinabeyene8912]

lmao

[@sukhvirbhullar4981]

U r ryt

[@Bioinfowithwafa]

Hahahaha exactly....

[@freelance9169]

I totally agree with you as so many so called Professors especially in Sweden, their presentation are too bad in Swedish University !!!! Don't go to Sweden to study computer science or scientific computing , too bad in their teachings by so called professors or Drs

[@r.a2229]

I just want to say thank to all the indian youtube channels that go through hours of video editing to put out FREE tutorials or lectures that save academic lives. I am genuinely grateful.... You should be placed on a different category to earn more credits... Thank you from the UK 💞

[@ashsharma28]

Was that "hours of video editing" a sarcasm for this video. Because, Ahem.. Not much of that done here. Anyways here it was not required. :p

[@r.a2229]

@@ashsharma28 It's a general statement, it appears he didn't do much but he worked with what he has and looking at the comment session you can clearly see that the content matters more than any video editing, he was able to communicate and help people

[@poojapenumala2519]

@@ashsharma28 taunting others, she is genuinely saying thanks and here you are pulling her out! I mean why do you have to do that tho! she was grateful, she commented! also he is doing a great job by explaining all this, focus on concept.

[@cryptomania3553]

@@poojapenumala2519 how do you know @r.a2229 is female?

[@adeyeyeelisha8392]

I'm so moved to tears right now. This 10-minute video is about to save my life from tomorrow's examination. Thank you for this video, man...

[@srinivasdeva6665]

God this is why I love Indian professors man. Everything becomes clear in less than 10 minutes

[@wajiplays3386]

Thankyou Brother! but dude "Concatenated" part was hilarious😂

[@HONKAI_WORLD_OF_JOY]

Sorry but It was cute 😂 & hilarious at the same time

[@sarthakvashistha6290]

came across this while preparing for my final exams. Nishant sir, you have taught very well!

[@candideprofessional7546]

Very clear and simple explanation of what was tormenting me since weeks.
As someone has already mentioned, 11100 = 28 and 10100 = 20 but it does not remove anything from the quality of the teaching.
Great academic contribution.

[@KaranSharma-dn7pp]

maa yahee dekhna tha comment me😂

[@rollingonfloor3288]

Thanks for all these videos ❤️
Please continue uploading them.

[@khalidal-reemi3361]

I watched many videos but this is the clearest one.

[@tabishbilal5579]

Great and simplest way to explain the mostly used algorithm now a days. Great work. Keep it up. Also share your experience with multi-objective functions. Thanks

[@indrajithps9720]

This dude explained the concepts clearly , where my teacher could not do it for the past sem

[@balayogiip6436]

Your way teaching is good, now I learned the basics of ga..
Here I found one mistake in mutation...on 4th string, in offspring after mutation section you used 10100,but you valued it as 18, actually it's 20😊

[@rohithkumardanwada158]

My wife is a civil engineer and she was struggling to understand what genetic algorithm is, for her project work. This video helped out very much. Thank you!

[@btechtutorialByNishantMittal]

So glad to hear that!

[@MdAsifKalim]

Clearly explained
As expected from you friend

[@shwanagha230]

thank you.. of all the videos I wathced about GA, this was the best...

[@viennacarlston3224]

Thank you so much for enlighten me! I've been struggling this subject for weeks, Keep those video coming 🙌

[@supriyashivaprasad7516]

Thank you so so much for a such wonderful and easy explanation. I came across this video when i am preparing for my phd coursework exams, i couldnt find any video apt for genetic algorithms, topics which i wanted in genetic algorithms.. its very neatly and easily explained. thank u so much sir. Pls make more videos on ML..
1. Bayesian and computational learning
2. Instant based learning and learning set of rules
3. Analytical learning and reinforced learning.
4. Neural networks
Thank u

[@TheSantu1985]

Same here👍

[@ayenewyihune]

Well explained, shows how simple examples work best to understand concepts

[@YoutubeShorts1s]

Great explanation. Even after completing the project in optimization with GA from IIT I had not been able to understand completely 🤣🤣🤣🤣

[@SolvingOptimizationProblems]

Many thanks for your useful works. Many students will benefit from your tutorial. Keep it up!

[@syauqinaakmar655]

I currently do my master's research in GA. Honestly, I don't understand at all about GA even though I already do the flowchart for GA operations. After I watched your video, now I can simply understand how GA works. Thank you so much.

[@r.a2229]

Me too

[@sameenamusthafa1081]

Hello, can you please explain, why we need cross over and mutation, Actually I am doing GA in Wireless sensor network and I like to know basics of GA.

[@user-co6xm5vc8g]

sorry for all, the last table exactly in first value should be 28 not 26, also last value 20 not 18, then sum=2538
average= 635, max 784
I know these value didn't impact on explaining away.

[@Talksofarjuun2405]

Yesss ur crct 🔥

[@allthingscomputer8355]

Thank you for such a short, clear and precise explanation

[@Amna_dilawar]

Very good explanation

[@vmard002]

Thx a lot... I was so disorientated reading papers and chapter of some books, after watching ur video I realised you add zeros to the begging of the binary number to get all the string with the same length. That little detail help me a lot

[@meghnareddi4540]

Best video on Genetic algos,clear and easy explanation... AMAZING ! KEEP GOING

[@shashikalaraju5769]

Thank you very much for the clear explanation.

[@ammarazlan2919]

Hi, clearly explained tutorial. Please do one on Clonal Selection Algorithm. Thanks!

[@tharuneshreddy5246]

Perfect
Excellent
Fantastic
Marvellous

[@akashdeep270]

Thanks, u teached far better than my faculty.

[@020hamza2]

You are young teacher better than old well thought

[@DeepeshSinghAndroid]

Excellent work. Simple and easy to understand. Keep it up.

[@jbs8422]

clearly explained.... short & to the point... thanks

[@mechietech5176]

Pls make videos on Ant colony optimization, line balancing and job shop scheduling as my exams are scheduled to be conducted on 5th Sept.
LOVE UR CONTENT

[@alemdemissie1124]

Great presentation. Thank you!

[@mr.unnikrishnanl.8745]

Good one and useful , simple....plz upload a video on Support Vector in Machine learning.

[@Anurag-hs6nu]

Very helpful , clarified all my doubts 👍

[@kimti10]

Simple and Excellent explanation . Thanks broo

[@farrishaikalfathil248]

Great job explaining! Thanks

[@mailanbazhagan]

@10:54 The offspring after mutation 11100 and 10100 should be mapped to 28 and 20, respectively.

[@user-kw4do2fk6i]

true

[@charukesharajitha4751]

Good explanation,All the best

[@kaganayaz209]

This was totally incredible. I got the point in 10 minutes thx very much...

[@RavindraYadav-uv1we]

NICELY EXPLAINED

[@karrisagar3127]

thanks for u r clear info about how to solve the GA problem

[@jadavraj8204]

Awesome lecture,,thank you very much

[@ushanandhini1942]

Excellent teaching. Easy to understand. I need to know that how to apply this for selecting features. Give video with example.

[@souritranandy6270]

excellent explanation❤

[@madutkuajok]

Well explained!!!! Thanks a lot.❤❤🙏🙏

[@masfiqmahmud145]

Thanks Man!!!! You've made it easy

[@user-pm8cc7bk1v]

best video on this topic .

[@trykp13]

Hi, great video! Could you do more videos on generating rules in Rough Sets?

[@user-zc9kx2tm5k]

This is very informative, thanks breaking down the various steps.
can you please do a video on genetic algorithms for optimizing identification and controller tuning

[@update485]

Nice explanation 👍🏻

[@pandianshanthakumar4163]

Great and clear explanation. Thanks a lot .👍👍

[@chinmaybhalerao4004]

Very nice explanation ! Thanks ! Will you please make video on Simulated annealing ?

[@ashapatil2730]

Great Teaching with example

[@uarangat]

Beautiful simple work

[@ismailaltankurt536]

Its hard to explain on your friend. You did global explain. That is so wonderfull thanks for it. I got something in my head now... Teacher can not do some brain activity :D

[@saramirabi1485]

Thanks a lot for great video, i read lots of articles without any view of these algorithms and totally confused. just one question in mutation algorithm changing 0 to 1 is randomly selected, you didn't change second and third values because they were bigger, how you understand not to change these 2 values? is it possible to not change only the biggest? I want to know the optimize method

[@arhamshahzad9491]

Thank you so much. This is so good

[@basics7930]

best and simple explanation

[@alwayssmile1778]

Thanks! i had been struggling with this

[@chihiroo1801]

Thanks for sharing this, Sir. it's so helpful. But sorry, could i ask something about this? when we select two parents for next step i mean for crossover , could the same parents chosen and they will do crossover? i'm looking forward to your answer and thank u :)

[@martinh9099]

I believe the 2 parents can be the same, obvioulsy children will be clones of the parents - but they can be mutated later

[@chihiroo1801]

@@martinh9099 Hi! Thank u for the answer even this question since 1 year ago. Really appreciate! I hope we can discuss more than this:)

[@phermankhongkhlad3490]

no more words ....thankyou 😀

[@raphaelemmanuellimboy5189]

Very helpful! Thanks!

[@krithikramng6967]

Thank you and very useful mam..kindly upload a video for minimizing the function using genetic algorithm

[@taniagoswami4821]

Did you choose the numbers 13,24,8,19 at random or some other formula behind it?

[@abhinavvishwakarma6078]

It's random.

[@bikoteedesigns]

This is nice. though I'm still a little bit confused in some aspect. please what problem can we solve with Genetic Algorithm (GA) I just want you to state them. if it can be narrowed to Business I'll appreciate.

[@govindjangid6201]

Thank you sir 😊

[@jyotsnapandit8321]

Thank you!!

[@vak1103]

Thanks for the video, could you also tell, when or how to we conclude that the solution is optimal?

[@fathimanazar169]

Thanku sir for your awesome class....

[@ahmadariyan293]

thank you so much

[@linguafranca7834]

great sir.

[@wajihatasnim7995]

Please upload video on multiobjective optimozation.

[@skystars2091]

Excellent

[@mdraihanulislamtomal6064]

it was helpful

[@shafatwani9398]

grt efforts..really nyc..bt plz use white board to discuss every thing without turning page again n again..

[@nquanta1548]

Nice explanation 👍

[@shakirullah5840]

thank you so much for nice lecture. would you pls explain, where is the use of roulette wheel in the example for initial selection?

[@emanhaneef7329]

Thank u sir 😍

[@systemflaws]

please upload the pdf as well man. Nice explanation.

[@lakshyamishra96]

Thank you sir !!

[@tejuuchannel9992]

S u r saved many by this solutions.take a bow 🏹

[@pikachucharezard9378]

Seeing this before 1 hr from exam

[@amlanpatra6365]

Thank you brother 🥺 thodi der bad exam hai

[@hashrajput5528]

Bhai what's the problem?? That need to solve?????
Suddenly you showed initial population even I dunno where to reach??? What to achieve??

[@dongdongdong2732]

Exactly

[@haristahir3530]

8:00 how 01000 becomes 11000 as mating point?? and why we take 4 crossover points for 1st two and 2 crossover points for last two??

[@vagabondfoodie5788]

Just to produce some variation, that's totally depends on you, you can choose crossover point anywhere

[@sanjanakengatte9325]

thank you

[@abdullahsohail1781]

thanks a lot

[@RainQueen]

Thank you for this video. May you please do one on C1 operator and PMX. Thank you

[@jamalnuman]

How the GA can be used for predictions, for example, to predict the sale value of a property given a set of attributes

[@alsabtilaila1923]

You are amazing

[@awangkuahzabadaruddin1048]

Great!

[@rakshitashetty7461]

In the last step that is mutation the binary value of string one is 28 but y did u write as 26 and also 4th string value it is 20 I think

[@tanishqsahu606]

bro thank u so much

[@chanpreetsingh6866]

Very good video

[@azadehizadi9955]

what if we want to minimize the function? How do we select the next generation individuals?

[@Bigman1S-jp3by]

We need to eliminate the one which has the highest Pi.

[@sheenusachdeva4232]

I couldn't find further video regarding this topic

[@suchoudh]

u did good