Udemy – Introduction to Genetic Algorithms: Theory and Applications 2020-2

Description

Introduction to Genetic Algorithms: Theory and Applications is the name of a training course in the field of genetic algorithms that teaches the main mechanism of this search technique as a search or optimization search algorithm in MATLAB. Genetic algorithm is a computer science search method that is used to find approximate solutions to optimize models 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 well acquainted with genetic algorithms and learn the most important concepts about artificial intelligence techniques. The main focus of this course is on the method of genetic algorithm because this method is the best optimization algorithm in computer science. By watching each video, you can watch the step-by-step process of implementing the genetic algorithm and learn how to solve problems accurately.

Items that are taught in this course

Using genetic algorithms to solve optimization problems

Editing and improving the genetic algorithm

Genetic algorithm performance analysis

Introduction to Genetic Algorithms Course Details: Theory and Applications

English language

Duration: 7 hours and 5 minutes

Number of courses: 26

Level of education: Intermediate

Lecturer: Prof. Seyedali Mirjalili

File format: mp4

Topics

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

Prerequisite

Be familiar with the basics of programming

Be familiar with Matlab programming language

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p