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

[@viennacarlston3224]

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

[@sarthakvashistha6290]

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

[@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

[@khalidal-reemi3361]

I watched many videos but this is the clearest one.

[@indrajithps9720]

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

[@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.

[@SolvingOptimizationProblems]

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

[@allthingscomputer8355]

Thank you for such a short, clear and precise explanation

[@MdAsifKalim]

Clearly explained
As expected from you friend

[@ayenewyihune]

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

[@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😊

[@meghnareddi4540]

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

[@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

[@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!

[@wajiplays3386]

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

[@HONKAI_WORLD_OF_JOY]

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

[@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👍

[@DeepeshSinghAndroid]

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

[@alemdemissie1124]

Great presentation. Thank you!

[@farrishaikalfathil248]

Great job explaining! Thanks

[@jbs8422]

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

[@shashikalaraju5769]

Thank you very much for the clear explanation.

[@trykp13]

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

[@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.

[@alwayssmile1778]

Thanks! i had been struggling with this

[@akashdeep270]

Thanks, u teached far better than my faculty.

[@Anurag-hs6nu]

Very helpful , clarified all my doubts 👍

[@shwanagha230]

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

[@RavindraYadav-uv1we]

NICELY EXPLAINED

[@kaganayaz209]

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

[@Thanos-bu3gx]

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

[@ammarazlan2919]

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

[@tharuneshreddy5246]

Perfect
Excellent
Fantastic
Marvellous

[@masfiqmahmud145]

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

[@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 🔥

[@raphaelemmanuellimboy5189]

Very helpful! Thanks!

[@arhamshahzad9491]

Thank you so much. This is so good

[@jadavraj8204]

Awesome lecture,,thank you very much

[@chinmaybhalerao4004]

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

[@madutkuajok]

Well explained!!!! Thanks a lot.❤❤🙏🙏

[@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

[@pandianshanthakumar4163]

Great and clear explanation. Thanks a lot .👍👍

[@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

[@jyotsnapandit8321]

Thank you!!

[@lakshyamishra96]

Thank you sir !!

[@efosaaigbe4041]

Great Stuff

[@kimti10]

Simple and Excellent explanation . Thanks broo

[@ashapatil2730]

Great Teaching with example

[@uarangat]

Beautiful simple work

[@skystars2091]

Excellent

[@020hamza2]

You are young teacher better than old well thought

[@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

[@Amna_dilawar]

Very good explanation

[@charukesharajitha4751]

Good explanation,All the best

[@mr.unnikrishnanl.8745]

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

[@karrisagar3127]

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

[@update485]

Nice explanation 👍🏻

[@user-pm8cc7bk1v]

best video on this topic .

[@awangkuahzabadaruddin1048]

Great!

[@phermankhongkhlad3490]

no more words ....thankyou 😀

[@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

[@linguafranca7834]

great sir.

[@ahmadariyan293]

thank you so much

[@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....

[@sanjanakengatte9325]

thank you

[@basics7930]

best and simple explanation

[@fiazbilal3961]

Good Work

[@abdullahsohail1781]

thanks a lot

[@govindjangid6201]

Thank you sir 😊

[@pithuiliuid290]

Nice💛

[@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 😍

[@RainQueen]

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

[@krithikramng6967]

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

[@ushanandhini1942]

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

[@mdraihanulislamtomal6064]

it was helpful

[@suchoudh]

u did good

[@madhumatinarule4489]

Great🤞🤞🤞

[@tanishqsahu606]

bro thank u so much

[@chanpreetsingh6866]

Very good video

[@nquanta1548]

Nice explanation 👍

[@imadsaddik]

Thanks

[@shyamaprasadchakraborti6852]

Awesome ❤

[@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.

[@youssefamin5115]

Thank you brother

[@salamalsamman1314]

Thank you

[@nawaab9275]

Just one doubt..plz reply soon tha the crossover point selected and the zeros converted to 1 in mutation part are all done randomly??

[@shukorr5366]

Do you happen to have differential evolution video?

[@DebanjanDuttcambridge]

for the selection, you went with the roulette wheel method, right?

[@alsabtilaila1923]

You are amazing

[@mailanbazhagan]

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

[@user-kw4do2fk6i]

true

[@sameenamusthafa1081]

Please explain this topic as an application for cluster head selection in wireless sensor networks .. it will be very helpful

[@systemflaws]

please upload the pdf as well man. Nice explanation.

[@jamalnuman]

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

[@sheenusachdeva4232]

Will you please provide more material regarding genetic algorithm working in swarm intelligence