Published on: 2020-05-25 21:30:55
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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 a detector or optimization search algorithm in MATLAB. The genetic algorithm is a method used in computer science that is used to find an approximate solution to optimize the 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 become familiar with the genetic algorithm and learn the most important concepts about artificial intelligence techniques. The main focus of this course is on the genetic algorithm method because it is 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 exactly how to solve problems.
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
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English subtitle
Quality: 720p
7.31 GB
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