- Видео 14
- Просмотров 624 830
Ali Mirjalili
Добавлен 12 фев 2010
Seyedali Mirjalili is a Professor at Torrens University Center for Artificial Intelligence Research and Optimization and internationally recognized for his advances in nature-inspired Artificial Intelligence (AI) techniques. He is the author of more than 300 publications including five books, 250 journal articles, 20 conference papers, and 30 book chapters. With over 40,000 citations and H-index of 70, he is one of the most influential AI researchers in the world. From Google Scholar metrics, he is globally the most cited researcher in Optimization using AI techniques, which is his main area of expertise. Since 2019, he has been is in the list of 1% highly-cited researchers and named as one of the most influential researchers in the world by Web of Science. In 2021, The Australian newspaper named him as the top researcher in Australia in three fields of Artificial Intelligence, Evolutionary Computation, and Fuzzy Systems.
How does the Grey Wolf Optimizer work? BEST SIMULATION OF GREY WOLF OPTIMIZER (GWO)!
This video investigates the mathematical models of the Grey Wolf Optimizer. You will find a lot of discussions and experiments to see the role of the main controlling parameters in this algorithm.
These videos are taken from my course on this algorithm in Udemy. You can enrol to this course here: www.udemy.com/course/grey-wolf-optimizer/?referralCode=05FB02346EC3F3F740A6
These videos are taken from my course on this algorithm in Udemy. You can enrol to this course here: www.udemy.com/course/grey-wolf-optimizer/?referralCode=05FB02346EC3F3F740A6
Просмотров: 18 398
Видео
Mathematical models for the Grey Wolf Optimizer
Просмотров 21 тыс.3 года назад
This video shows the mathematical models 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, ...
The inspirations for Grey Wolf Optimizer
Просмотров 11 тыс.3 года назад
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 imp...
The simple magic of Neural Networks
Просмотров 2,7 тыс.5 лет назад
This video is a part of my course on Udemy. You can enrol to this course using the following link: www.udemy.com/introduction-to-artificial-neural-network-and-deep-learning/?couponCode=ALIMIRJALILI.COMNN This video shows a quick and intuitive analogy to see what the purpose of a neuron is. It shows how simple the idea of a Neuron is.
A beginner's guide to Artificial Neural Networks and Deep Learning
Просмотров 2,3 тыс.5 лет назад
You can enrol to this course using the following link: www.udemy.com/introduction-to-artificial-neural-network-and-deep-learning/?couponCode=ALIMIRJALILI.COMNN
A piece of heaven called MALAYSIA
Просмотров 2,4 тыс.5 лет назад
Malaysia is a beautiful country with lots of memories for me. My camera is Sony a6500 and the entire trip was shot by 50mm f1.4 . I used Adobe Premiere Pro for editing. Music by: ► Cartoon SoundCloud soundcloud.com/cartoonbaboon Facebook cartoondband ► Daniel Levi (vocalist) Facebook daniellevimusic Website daniellevi.eu/ .
How the Ant Colony Optimization algorithm works
Просмотров 202 тыс.5 лет назад
To watch the rest of the videos, click here: www.udemy.com/antcolonyoptimization/?couponCode=ACO_RUclips In this course, you will learn about combinatorial optimization problems and algorithms including the Ant Colony Optimization.
Inspiration of Ant Colony Optimization
Просмотров 47 тыс.5 лет назад
To watch the rest of the videos, click here: www.udemy.com/antcolonyoptimization/?couponCode=ACO_RUclips In this course, you will learn about combinatorial optimization problems and algorithms including the Ant Colony Optimization.
A Course on Combinatorial Problems and Ant Colony Optimization Algorithm
Просмотров 3,1 тыс.5 лет назад
You can enrol here: www.udemy.com/antcolonyoptimization/?couponCode=ACO_RUclips This course is helpful to learn the following concepts: Part 1: 1. The main components of the 2. Formulating combinatorial optimization problems 3. The difficulty of combinatorial optimization problems 4. State space tree 5. Search space 6. Travelling Salesman Problem (TSP) Part 2: 1. Exact methods 2. Heuristics met...
A course on multi-objective optimization
Просмотров 3,2 тыс.5 лет назад
You can enrol using the following link: www.udemy.com/multi-objective-optimization-problems-and-algorithms/?couponCode=MO_RUclips
Lecture on the inspiration of the Genetic Algorithm
Просмотров 4,1 тыс.6 лет назад
This lecture is a part of the most comprehensive course on Genetic Algorithms in Udemy. If you would like to watch more, make sure to enrol via the following link: www.udemy.com/geneticalgorithm/?couponCode=GACOURSERUclips
The most comprehensive Udemy course on Genetic Algorithms
Просмотров 2,7 тыс.6 лет назад
In this course, you will learn the theory of Genetic algorithms and implement it in Matlab. There are also several case studies. You can get the course with 95% discount via this link: www.udemy.com/geneticalgorithm/?couponCode=GACOURSERUclips
Learn Particle Swarm Optimization (PSO) in 20 minutes
Просмотров 296 тыс.6 лет назад
Particle Swarm Optimization (PSO) is one of the most well-regarded stochastic, population-based algorithms in the literature of heuristics and metaheuristics. This video covers the most fundamental concepts of this algorithm with a very intuitive analogy. If you are interested to learn more, you can enrol in the following PSO course in Udemy via the following link (clink now and enrol with 90% ...
An online course on optimization problems and algorithms
Просмотров 9 тыс.6 лет назад
The first online optimization course made by myself. Enrol today and get over 90% discount: www.udemy.com/optimisation/?couponCode=RUclipsDISCOUNT This is an introductory course to the stochastic optimization problems and algorithms. We will cover the most fundamental concepts in the field of optimization. By the end of this course, you will be able to identify and implement the main components...
Thanks. How to understand the strengths and weaknesses of such algorithms?
thanks , that was quite helpfull .
Study this first, then go familiarize yourself with nudge theory, then go familiarize yourself with Communism - you'll take over the world
At first I was having hard time understanding but then everything made so much sense ... that was some awesome explanation ... !!! good work man !
This was wonderful. One thing I notice though is that ants don't usually travel in a straight line, even on flat surfaces. Why is this?
I think this is the best video on PSO on YT right now. Perfect mix of exploration of topics and exploitation/depth on each one.
What an explanation! Thank you so much.
thank you
where is the file of the code
many thanx , amazing presentation.
What Great content in 6 years ago! Thank you.
Well explained. Thanks.
Bring some video on adaptive super twisting sliding mode control
Great job!
Great job!
Great job!
Great job!
Great job!
You are an inspiration in this field
Brilliant
Man you're the best!! I really didn't think I'd be able to finish my optimization homework and didn't think I could learn PSO so quickly but your explanation was so amazing I was really able to learn it by the end of the video and optimize my homework! Thank you SO MUCH!! You're amazing!
Well done. Great Job
This video is really out of the world. Too good.
That's pure magic 14:24
Thank you !!!
your explanation really easy to understand.. thank you
Hi Sir how can I connect with you?
Legend
What an excellent explanation!
سلام این ویدیو به فارسیش هم هست ؟
سلام .همین ویدیو به فارسی هم هست ؟
Jai Shree Ram🙏🙏
❤
shouldnt acceleraation vector A be between the ranges of [-a,a] not [-2a,2a], since the random value is belongs to [0,1]?
Hola de nuevo Doctor Mirjalili😅
Thank you Dr. One of the most influential AI researchers in the world.
Moi je pense que 1+1 est égal à deux et puis c'est tout.
Prof. Why u stopped making videos??? They are impressive.
Hello please sir make a video for artificial rabbit optimization algorithm
Best explanation ever !! Thanks.
Thank you for helping researchers👍
great Processing.Js to explain GWO. ThumbsUp!
Can you help me in PSO
May your career converge in a global maximum, Sir.
Very cool
Wow you were the inventor of this algorithm 😂😂
If my problem is a combinatorial problem, but I can only calculate the cost once a full trail has been formed, how can I calculate the distance between two nodes? Or should I just ignore that part?
Sir, can you post pso notes
You are a great teacher, thank you so much !!!!!
Is there any way to get a working sample matlab code for GWO?