The inspirations for Grey Wolf Optimizer
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- Опубліковано 25 сер 2024
- This video shows the inspirations for the Grey Wolf Optimizer. The Grey Wolf Optimizer (GWO) mimics the leadership hierarchy and hunting mechanism of grey wolves in nature. Four types of grey wolves such as alpha, beta, delta, and omega are employed for simulating the leadership hierarchy. In addition, three main steps of hunting, searching for prey, encircling prey, and attacking prey, are implemented to perform optimization.
These videos are taken from my course on this algorithm in Udemy. You can enrol to this course here: www.udemy.com/...
Great job!
Thank you for helping researchers👍
Well done.
Great Job
Great job and well done Prof.Ali
Hi Ali. I'm Dr Sami Mehennaoui from Algeria, I will develop a new optimizer with highly specifics that's we never seen before
Well done Prof!!
Greetings from Sudan Prof.Mirjalili, Greet job thank you for enriching the scientific field with your work
Nice to see you Ali, I didn't know you had a UA-cam channel!!
Thanks Nigel. Yes I am a researcher working on nature-inspired Artificial Intelligence techniques I found it perfectly matched my interests in both computers and nature. And bonsai is something I very much enjoy but I am not patient enough to do it 😁 thanks for visiting my little channel.
One of the best prof ❤
Very interesting.
Very Nice Infor - Keep up the good work sir.
Thanks and welcome
Always your articles are more meaningful sir
Thanks 😊
Nice
Sir please make a video on Moth Flame Optimization with some numerical examples...
Thank you in Advance
it is interesting
Wow you were the inventor of this algorithm 😂😂
I love you and you Journey Dear Sir
سلام این ویدیو به فارسیش هم هست ؟
Sir i want to do hybrid optimization like combining NSGA to PSO. Any course on udemy sir?
4:36 indeed It doesn't. :D
I get what you mean. I'm laughing now but unfortunately it's a sad story deep inside.
🧡🧡🧡🧡
Why have no caption, I need it.