Introduction to Genetic Algorithms - Practical Genetic Algorithms Series

Genetic Algorithms (GAs) are members of a general class of optimization algorithms, known as Evolutionary Algorithms (EAs), which simulate a fictional environment based on theory of evolution to deal with various types of mathematical problem, especially those related to optimization. Also Genetic Algorithms can be categorized as a subset of Metaheuristics, which are general-purpose tools and algorithms to solve optimization and unsupervised learning problems.
In this series of video tutorials, we are going to learn about Genetic Algorithms, from theory to implementation. After having a brief review of theories behind EA and GA, two main versions of genetic algorithms, namely Binary Genetic Algorithm and Real-coded Genetic Algorithm, are implemented from scratch and line-by-line, using both Python and MATLAB. This course is instructed by Dr. Mostapha Kalami Heris, who has years of practical work and active teaching in the field of computational intelligence.
Components of the genetic algorithms, such as initialization, parent selection, crossover, mutation, sorting and selection, are discussed in this tutorials, and backed by practical implementation. Theoretical concepts of these operators and components can be understood very well using this practical and hands-on approach.
At the end of this course, you will be fully familiar with concepts of evolutionary computation and will be able to implement genetic algorithms from scratch and also, utilize them to solve your own optimization problems.
Topics covered in this part are listed below:
● Introduction
● What is an Evolutionary Algorithm?
● What is a Genetic Algorithm?
● Crossover
● Mutation
● Parent Selection
● Merging, Sorting and Selection
For more information and download project files for this tutorial, see: yarpiz.com/ypga191215
Other parts of this video tutorial series are available via following links:
Part 1 - Introduction to Genetic Algorithms: [Current Part]
Part 2 - Binary Genetic Algorithm in MATLAB (A): • Binary Genetic Algorit...
Part 3 - Binary Genetic Algorithm in MATLAB (B): • Binary Genetic Algorit...
Part 4 - Binary Genetic Algorithm in MATLAB (C): • Binary Genetic Algorit...
Part 5 - Real-Coded Genetic Algorithm in MATLAB: • Real-Coded Genetic Alg...
Part 6 - Genetic Algorithm in Python (A): • Genetic Algorithm in P...
Part 7 - Genetic Algorithm in Python (B): • Genetic Algorithm in P...
Publisher: Yarpiz (www.yarpiz.com)
Instructor: Mostapha Kalami Heris

[@SolvingOptimizationProblems]

*The best introduction to genetic algorithms on KZbin. Thank you!*

[@markjone7488]

Yeah maybe you're right.

[@pineMoe]

Thank you Dr Kalami. It is the most perfect introduction to genetic algorithms that I've ever watched.

[@nafmtl]

Thank you Dr. Kalami for the excellent explanation. Very clear and easy to understand!

[@mrknarf4438]

Great explanation, thanks! Can't wait to jump into the code!

[@aboul0]

crystal clear as usual, THANKS Yarpiz

[@YarpizProjects]

Thanks. Very nice to hear that.

[@haninalkabbani7766]

Thanks a lot You simplify things in a very clear way

[@betting55555]

your videos are great, I'm subbing for sure. Thanks very much for putting these up, they're very helpful!

[@mehdihasanpour203]

thanks, Dr. Kalami. This tutorial is great. Very clear.

[@YarpizProjects]

You are welcome. Very nice to hear that.

[@shahabuddin1289]

Best introduction turial on GA in Yoyube. Thank you.

[@lovelymusicallife9165]

That was fantastic. Clear and profesional

[@cristianvalarezi7125]

Very clear for people beginning at it as me...

[@rehimushnuri5534]

excellent introduction ever seen.

[@ladymurrieta3766]

Thanks a lot! So clear.

[@EducationalJourney]

thank you for the excellent content.

[@shandou5276]

Echo rest of the comments here--very well explained!

[@samihsalima714]

Very clear, thank you

[@inferno5335]

Thank u s much, great video can i implement the GA in my final thesis that talks about the sizing and optimization of an electrical hybrid system bases on renewable energies ? I want to size the components with GA by minimizing the price and optimize the energy use with PSO, have u any suggestions sir ?

[@user-lw8lx5ts5i]

Perfect explanation，and help me a lot，thanks

[@TheQuickskopez]

Great video, thank you

[@user-fn2vo9lh5z]

More than beautiful !

[@samanirani8561]

Thank you, dear Dr. Kalami, is it possible for you to introduce good published resources about GA or your published work on this topic?

[@joaquinpelfortvazquez7100]

Thank you sir for this cristal clear explanation, this can only be performed by a master, that's the art of explainning difficult things as if they were easy. I wonder if you could do at least an introduction is Stochastic adaptive search. Thank you so much

[@zojascekic]

Thank you Sir!

[@progress8796]

Thank you Doctor for the genius explanation. Could you please explain the Tabu Search in continuous domain, because the TS algo you shared on your website is for discrete domain. Thanks in advance

[@davidgarmroudi8747]

Dear Dr thanks for these great lessons. I have seen your wavelet education files, could you please tell me how to define an objective function to select the best base mother wavelet and best level of decomposition for a univariate load signal? Sincerely I am waiting for ur replay

[@Y-a-n-g-Y-a-n-g]

Nice video!

[@sharafatali3203]

Thanks sir ❤️💖

[@basanthassan1824]

is there a power point ?thanks .Amazing lectures

[@thachanondk4156]

thank you :)

[@sranjanmishra802]

Hello, This is great video on the concept and application. I had a question about the chromosome setting. What does the chromosome configuration do and how do we extract meaningful data from it?

[@souadmassi7683]

Thank you very much for sharing with us your knowledge

[@YarpizProjects]

Thank you very much.

[@travel_studio]

Thank you !!!!!!!!!!

[@pedromnunes]

thank you

[@theWorldOfIss]

Sir how to implement multiple traveling salesman problem using NSGA-2 in python.

[@joynondy3706]

Thank you for the lucid explanation

[@tulip9780]

pls explain this question me ( implementing 0

[@meriemmdioud9249]

Hello, can you send me code of genetic algorithm that has as input the value of population initial and the result is the minimum of the sum of each individual of the population final? thank you

[@user-fl1jp8nl6s]

( الله خالق كل شيء وهو على كل شيء وكيل له مقاليد السماوات والأرض والذين كفروا بآيات الله أولئك هم الخاسرون قل أفغير الله تأمروني أعبد أيها الجاهلون ولقد أوحي إليك وإلى الذين من قبلك لئن أشركت ليحبطن عملك ولتكونن من الخاسرين بل الله فاعبد وكن من الشاكرين )