Description
Introduction to Genetic Algorithms: Theory and Applications is the name of a training course in the field of genetic algorithm that teaches the basic mechanism of this search technique as a detector or optimization search algorithm in MATLAB. A genetic algorithm is a method used in computer science to find an approximate solution for optimizing model and search problems. This method can be applied to a variety of applications, including machine learning, data science, neural networks, and deep learning.
In this course, you will get to know the genetic algorithm and learn the most important concepts of artificial intelligence techniques. The main focus of this course is on genetic algorithm method as it is the best optimization algorithm in computer science. As you watch each video, you’ll see the step-by-step process of implementing a genetic algorithm and learn exactly how to solve problems.
Courses taught in this course:
- Use genetic algorithm to solve optimization problems
- Modify and improve the genetic algorithm
- Genetic Algorithm Performance Analysis
Introduction to Genetic Algorithms: Theory and Applications:
- English
- Duration: 7 hours and 5 minutes
- Number of lessons: 26
- Education level: average
- Instructor: Prof. Mirjalili of Seyedal
- File format: mp4
course topics
26 lectures 07:05:53
inspiration
1 lecture at 19:00
Gene representation and fitness function
2 lectures 33:32
Choice
4 lectures 01:16:58
recombination (crossover)
3 lectures 59:27
Mutation
2 lectures at 19:37
Elitism
4 lectures 42:04
Application of Genetic Algorithm
2 lectures 46:29
A continuous version of the genetic algorithm
5 lectures 01:23:09
Applications of Genetic Algorithm
2 lectures 43:57
Bonus video
1 lecture 01:40
Course prerequisites
- Be familiar with the basics of programming
- Be familiar with the Matlab programming language
Pictures
Sample movie
installation manual
After extracting, watch with your favorite player.
english subtitles
Quality: 720p
Download link
File password(s): www.downloadly.ir
size
7.31 GB