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11/12/2020
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Optimization problems and algorithms is a training course by the Udemy site that teaches how to identify, formulate, and solve optimization problem difficulties using the discoverer or heuristic search algorithm in MATLAB. The problem of optimization is called finding the best solution among all the practical solutions in mathematics and computer science. A discoverer or heuristic search algorithm is a method used to solve problems that cannot be solved in a classical way.
During this course, you will learn about optimization and algorithms, which form the basis of many subfields of artificial intelligence, and learn its basic concepts, including metaheuristic algorithms and swarm intelligence. After completing this course, you will be able to identify and implement the most important components of an optimization problem.
Identify and solve optimization problems
Understand the concepts of meta-heuristic algorithms
Analysis and adjustment of modern optimization algorithms
Congestion intelligence
English language
Duration: 8 hours and 3 minutes
Number of courses: 36
Level of education: Intermediate
Lecturer: Prof. Seyedali Mirjalili
File format: mp4
36 lectures 08:03:35
Introduction 2 lectures 14:30
Optimization problems 1 lecture 11:38
Optimization of problems with one objective 2 lectures 23:09
Particle Swarm Optimization (PSO) 4 lectures 01:11:08
Optimization of problems with constraints 2 lectures 25:18
Optimization of problems with discrete variables 3 lectures 34:36
Optimization of problems with multiple objectives 2 lectures 16:02
Optimization of problems with uncertainties 3 lectures 49:54
Bonus videos (FAQ) 16 lectures 03:55:39
Thank You 1 lecture 01:41
You should have basic knowledge of programming
You should be familiar with Matlab’s built-in programming language
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
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