You're the same person who saved my programming career by introducing me to talon and now you're helping me and my data science masters as well hahaha thank you
I created a genetic algorithm to find combinations of weights and ingredients in meals that meet a person's desired nutritional criteria, both macronutrients and micronutrients. The solution was created in Go without using any library. I absorbed the concept of genetic algorithms and decided to implement something that met my exact objective. I was very happy when I noticed that the results were incredibly satisfactory. A varying number of macronutrient and micronutrient restrictions could lead to meal combinations with ingredients that are very close to what is expected. I am Brazilian and I intend to launch this feature in Brazil in the next few days. If anyone is interested in knowing details about this, please don't hesitate to respond.
That's interesting, I'm still grasping the GA algorithm, I barely know about algorithms tbh let alone the implementation. But I intend to use it in my thesis project for scheduling and room loan system in my faculty. I'd like to know more of your implementation, if that's okay.
Pretty much - they follow the same logic, but technically genetic algorithms are a specific type of evolutionary algorithm. There are other types of evolutionary algorithms too, like evolutionary strategies and genetic programming. The difference between them all is mainly how the individuals in the population are represented - i.e. if the ‘DNA’ is a string of real numbers, or a string of 0s and 1s, or a graph, etc. They used to be distinct different things, but to be honest these days people use the terms fairly interchangeably a lot of the time. Thanks for taking the time to watch!
best explanaition ever,please dont stop
You're the same person who saved my programming career by introducing me to talon and now you're helping me and my data science masters as well hahaha thank you
That is the best explanation ever, Thank you!
Simple and clear explanation.Kudos for your great presentation.
Great and clear explanation. This was a great resource to learn about this topic for my machine learning class. Thank you!
Thank you so much. The best animation about genetic algorithms I've never seen
This video was incredible! You deserve much more than 373 subscribers :)
Extraordinary explanation and animation
Don't stop girl, u nailed it!
OMG! An explanation that finally makes complete sense! Thank you, thank you, thank you.
I created a genetic algorithm to find combinations of weights and ingredients in meals that meet a person's desired nutritional criteria, both macronutrients and micronutrients.
The solution was created in Go without using any library. I absorbed the concept of genetic algorithms and decided to implement something that met my exact objective.
I was very happy when I noticed that the results were incredibly satisfactory. A varying number of macronutrient and micronutrient restrictions could lead to meal combinations with ingredients that are very close to what is expected.
I am Brazilian and I intend to launch this feature in Brazil in the next few days. If anyone is interested in knowing details about this, please don't hesitate to respond.
That's interesting, I'm still grasping the GA algorithm, I barely know about algorithms tbh let alone the implementation. But I intend to use it in my thesis project for scheduling and room loan system in my faculty. I'd like to know more of your implementation, if that's okay.
What is the repo
Why does this video has likes in just 3 digits. Such an amazing explanation.
Awesome clear explanation..Good olde Jonathan
the best explanation
Awesome explanation. Thank you!
You could get rid of the 28 seconds by cutting out fluff like from 2:15 to 2:28.
This is an amazing expalantion!!!
Very well explained. Thanks.
finally I understand the purpose of mutation
Are genetic algorithms the same as evolutionary algorithms?
Pretty much - they follow the same logic, but technically genetic algorithms are a specific type of evolutionary algorithm. There are other types of evolutionary algorithms too, like evolutionary strategies and genetic programming. The difference between them all is mainly how the individuals in the population are represented - i.e. if the ‘DNA’ is a string of real numbers, or a string of 0s and 1s, or a graph, etc.
They used to be distinct different things, but to be honest these days people use the terms fairly interchangeably a lot of the time.
Thanks for taking the time to watch!
@@theprogrammingpiglet1681 I actually learned something today. Best of luck for your channel.
@@ShakilShahadat Thanks!
thank you!
nice work!
You just saved me girliie ty ❤
Stick around for the next video to learn how to program genetic algorithms in python 💔💔
It helped me thanks
Damn who on Earth takes so much trouble to go to work?
Thank you
great！
nice
but bro...
Jonathon is gay!
bro is capable of having children