Description
Introduction to Genetic Algorithms: Theory and Applications is the name of a training course in the field of genetic algorithm that teaches the main mechanism of this search technique as an exploratory search algorithm or optimization in MATLAB. Genetic algorithm is a search method in computer science that is used to find an approximate solution for model optimization and search problems. This method can be applied and implemented on various programs including machine learning, data science, neural networks, and deep learning.
In this course, you will get to know the genetic algorithm well and learn the most important concepts about artificial intelligence techniques. The main focus of this course is on the genetic algorithm method because this method is considered the best optimization algorithm in computer science. By watching each video, you can see the step-by-step process of implementing the genetic algorithm and learn how to solve problems accurately.
Items taught in this course:
- Using genetic algorithm to solve optimization problems
- Edit and improve the genetic algorithm
- Performance analysis of genetic algorithm
Introduction to Genetic Algorithms: Theory and Applications course specifications:
- English language
- Duration: 7 hours and 5 minutes
- Number of courses: 26
- Education level: Intermediate
- Lecturer: Prof. Seyedali Mirjalili
- File format: mp4
Course headings
26 lectures 07:05:53
Inspiration
1 lecture 19:00
Gene Representation and Fitness Function
2 lectures 33:32
Selection
4 lectures 01:16:58
Recombination (crossover)
3 lectures 59:27
Mutation
2 lectures 19:37
Elitism
4 lectures 42:04
Implementation of the Genetic Algorithm
2 lectures 46:29
Continuous version of the Genetic Algorithm
5 lectures 01:23:09
Applications of the Genetic Algorithm
2 lectures 43:57
Bonus Video
1 lecture 01:40
Course prerequisites
- Be familiar with the basics of programming
- Be familiar with Matlab programming language
Pictures
Sample video
Installation guide
After extracting, watch with your favorite player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
7.31 GB
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