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Optimization problems and algorithms

How to understand, formulate, and tackle the difficulties of optimization problems using heursitic algorithms in Matlab
4.5
4.5/5
(1,249 reviews)
5,714 students
Created by

8.2

Classbaze Grade®

5.6

Freshness

9.3

Popularity

9.2

Material

How to understand
Platform: Udemy
Video: 8h 3m
Language: English
Next start: On Demand

Best Optimization Problem classes:

Classbaze Rating

Classbaze Grade®

8.2 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

5.6 / 10
This course was last updated on 10/2018.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

9.3 / 10
We analyzed factors such as the rating (4.5/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.2 / 10
Video Score: 8.8 / 10
The course includes 8h 3m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 18 minutes of 25 Optimization Problem courses on Udemy.
Detail Score: 9.4 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
40 resources.
0 exercise.
0 test.

In this page

About the course

This is an introductory course to the stochastic optimization problems and algorithms as the basics sub-fields in Artificial Intelligence. We will cover the most fundamental concepts in the field of optimization including metaheuristics and swarm intelligence. By the end of this course, you will be able to identify and implement the main components of an optimization problem. Optimization problems are different, yet there have mostly similar challenges and difficulties such as constraints, multiple objectives, discrete variables, and noises. This course will show you how to tackle each of these difficulties. 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:
•History of optimization  
•Optimization problems 
•Single-objective optimization algorithms
•Particle Swarm Optimization 
•Optimization of problems with constraints 
•Optimization of problems with binary and/or discrete variables 
•Optimization of problems with multiple objectives
•Optimization of problems with uncertainties 
Particle Swarm Optimization will be the main algorithm, which is a search method that can be easily applied to different applications including Machine Learning, Data Science, Neural Networks, and Deep Learning.
I am proud of 200+ 5-star reviews. Some of the reviews are as follows: 
David said: “This course is one of the best online course I have ever taken. The instructor did an excellent job to very carefully prepare the contents, slides, videos, and explains the complicated code in a very careful way. Hope the instructor can develop much more courses to enrich the society. Thanks!”
Khaled said: “Dr. Seyedali is one of the greatest instructor that i had the privilege to take a course with. The course was direct to the point and the lessons are easy to understand and comprehensive. He is very helpful during and out of the course. i truly recommend this course to all who would like to learn optimizationPSO or those who would like to sharpen their understanding in optimization. best of luck to all and THANK YOU Dr. Seyedali.”
Biswajit said: “This coursework has really been very helpful for me as I have to frequently deal with optimization. The most prominent feature of the course is the emphasis given on coding and visualization of results. Further, the support provided by Dr. Seyedali through personal interaction is top notch.

Boumaza said:  “Good Course from Dr. Seyedali Mirjalili. It gives us clear picture of the algorithms used in optimization. It covers technical as well as practical aspects of optimization. Step by step and very practical approach to optimization through well though and properly explained topics, highly recommended course You really help me a lot. I hope, someday, I will be one of the players in this exciting field! Thanks to Dr. Seyedali Mirjalili.”

Join 1000+ students and start your optimization journey with us. If you are in any way not satisfied, for any reason, you can get a full refund from Udemy within 30 days. No questions asked. But I am confident you won’t need to. I stand behind this course 100% and am committed to help you along the way.

What can you learn from this course?

✓ Identify, understand, formulate, and solve optimization problems
✓ Understand the concepts of stochastic optimization algorithms
✓ Analyse and adapt modern optimization algorithms

What you need to start the course?

• You should have basic knowledge of programming
• You should be familiar with Matlab’s built-in programming language

Who is this course is made for?

• Anyone who wants to learn optimization
• Anyone who wants to solve an optimization problem

Are there coupons or discounts for Optimization problems and algorithms ? What is the current price?

The course costs $24.99. And currently there is a 81% discount on the original price of the course, which was $129.99. So you save $105 if you enroll the course now.
The average price is $15.3 of 25 Optimization Problem courses. So this course is 63% more expensive than the average Optimization Problem course on Udemy.

Will I be refunded if I'm not satisfied with the Optimization problems and algorithms course?

YES, Optimization problems and algorithms has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any financial aid for this course?

Currently we could not find a scholarship for the Optimization problems and algorithms course, but there is a $105 discount from the original price ($129.99). So the current price is just $24.99.

Who will teach this course? Can I trust Prof. Seyedali Mirjalili?

Prof. Seyedali Mirjalili has created 8 courses that got 3,606 reviews which are generally positive. Prof. Seyedali Mirjalili has taught 14,020 students and received a 4.6 average review out of 3,606 reviews. Depending on the information available, we think that Prof. Seyedali Mirjalili is an instructor that you can trust.
PhD in Artificial Intelligence
Professor Seyedali (Ali) Mirjalili is internationally recognized for his advances in Artificial Intelligence (AI) and optimization, including the first set of SI techniques from a synthetic intelligence standpoint – a radical departure from how natural systems are typically understood – and a systematic design framework to reliably benchmark, evaluate, and propose computationally cheap robust optimization algorithms. Prof. Mirjalili has published over 150 journal articles, many in high-impact journals, with one paper having over 4000 citations – the most cited paper in the Elsevier Advances in Engineering Software journal. In addition, he has more than five books, 30 book chapters, and 15 conference papers.
Prof. Mirjalili has over 25,000 citations in total with an H-index of 56. From Google Scholar metrics, he is globally one of the most-cited researchers in Artificial Intelligence. As the most cited researcher in Robust Optimization, he is in the list of 1% highly-cited researchers and named as one of the most influential researchers in AI by the world by Web of Science.
Ali is a senior member of IEEE and an associate editor of several journals including IEEE Access, Applied Soft Computing, Advances in Engineering Software, and Applied Intelligence. His research interests include Robust Optimization, Engineering Optimization, Multi-objective Optimization, Swarm Intelligence, Evolutionary Algorithms, and Artificial Neural Networks. He is working on the application of multi-objective and robust meta-heuristic optimization techniques as well.

In addition to his excellent research outputs, Prof. Ali has been a teacher for over 15 years and a Udemy instructor for more than three years. He has 10,000+ students, and the majority of his courses have been highly ranked by both Udemy and students. He is the only Udemy instructor in the list of top 1% highly-cited researchers.
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8.2

Classbaze Grade®

5.6

Freshness

9.3

Popularity

9.2

Material

Platform: Udemy
Video: 8h 3m
Language: English
Next start: On Demand

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