Prof. Seyedali Mirjalili
This is an introductory course to the Genetic Algorithms. We will cover the most fundamental concepts in the area of nature–inspired Artificial Intelligence techniques. Obviously, the main focus will be on the Genetic Algorithm as the most well–regarded optimization algorithm in history. The Genetic Algorithm is a search method that can be easily applied to different applications including Machine Learning, Data Science, Neural Networks, and Deep Learning.
With over 10 years of experience in this field, I have structured this course to take you from novice to expert in no time. Each section introduces one fundamental concept and takes you through the theory and implementation. The course is concluded by solving several case studies using the Genetic Algorithm.
Most of the lectures come with coding videos. In such videos, the step–by–step process of implementing the optimization algorithms or problems are presented. We have also a number of quizzes and exercises to practice the theoretical knowledge covered in the lectures.
Here is the list of topics covered:
The inspiration of the Genetic Algorithm
Selection or survival of the fittest
Recombination or crossover
Mutation
Elitism
Implementation
Application
I am proud of 200+ 5–star reviews. Some of the reviews are as follows:
Instructor Details
Courses : 2
Specification: Introduction to Genetic Algorithms: Theory and Applications
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8 reviews for Introduction to Genetic Algorithms: Theory and Applications
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| Price | $10.99 |
|---|---|
| Provider | |
| Duration | 7 hours |
| Year | 2018 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | No |
$10.99
Daniel Walker –
This course is exactly what I was looking for; I do wish there was an example in section 9 using the continuous GA instead of the bit GA. That said the content is excellent , I wrote code as I followed along. I enjoyed the fact that you debugged your code live, it gave me the opportunity to catch up while I was writing and I now have a deeper understanding of MATLAB operations as well as knowing the GA inside and out.
Salem Lakrash –
Thank you so so much, I am working in my dissertation and it really helped me. Thanks again you deserve big 5 stars.
Tissa Senevirathne –
Excellent training. I am new to GP but instructor’s style and approach make it easier to understand and grasp. Best video series I have seen so far in entire Udemy. Please keep up good work
Hannes –
Unfort. in MatLab. Otherwise very good.
Francisco Zdanowski –
Thank you Ali! You are an exceptional teacher, I had lots of fun developing my skills with your help. I would recommend all your courses to everyone who wants to step in the optimization field! Good job and good luck in your career.
Clancy Birrell –
great flow, great level of detail, great mix of theory and practical. I love being able to code along at the same time as watching the vids (I’m using R)
Manuel S. Alvarez–Alvarado –
The instructor is an expert and he knows how to teach. I congratulate the instructor.
Gabriel Claudiano –
Some math errors on the lectures are getting the evolution confuse. The content of the course is being kinda fair so far, but it is taking too long to explain each step. The course could be shorter.