Real-Coded Genetic Algorithm in MATLAB - 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:
● Real-Valued or Continuous Optimization Problems
● Crossover in Continuous Domain
● Mutation in Continuous Domain
● Real-Coded Genetic Algorithm in MATLAB
● Implementing Real-Coded Crossover and Mutation
● Finalizing Implementation of Real-Coded GA
● Improving Crossover
● Taking Care of Decision Variable Bounds
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: • Introduction to Geneti...
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: [Current Part]
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]

Very cool lecture. Highly recommend for the beginners. Thank you Professor.

[@aliguzel8463]

Just great! Thanks

[@HizBela_16]

This is what I wait your lecture, Thanks Sir

[@YarpizProjects]

Thank you very much.

[@charlesuko1479]

This is awesome professor! Thanks

[@YarpizProjects]

Thanks. Very nice to hear that.

[@ignatiolu863]

Awesome video! May I ask, in which place of genetic algorithm code would parallel computing be embedded for speed efficiency?

[@asyrafh6749]

this is very good video. If dont mind, do you have any experience on applying GA in relay optimization

[@jamel-dz]

Great work, thank you!

[@YarpizProjects]

Thank you.

[@mohamednassar3005]

A very good video, thank u

[@mansurmohammedaligamel8769]

Thank u very much, If my fitness function was simulated in different software, how can I link my code in MATLAB and perform that?

[@tweneboahenockdarkwa7216]

Great explanation. May I know how one can include non-linear constraints subject to the objective function in an n-times decision variables please?

[@sonlehathanh5716]

Hi Prof! What happens if my objective function has 3 parameters. Then, Either crossover and mutation are implemented with 3 parents and 3 offsprings or not? Please tell me know. I really appreciate that!

[@knighttime19]

Genius !

[@hemanthsai352]

Can u explain how to apply genetic algorithm on optimisation of water distribution network

[@farahmahmood1000]

Hi, do you have a similar video for your ABC code?

[@engineerazka7250]

Kindly make a video on Genetic algorithm using bounds and constraints in matlab

[@user-qo8bd3qz4g]

Hi Professor, Thanks for all your videos and channel! Please Professor I need your help to solve my problem with GA in Matlab. My problem contians multiple objective functions and multiple constraints. Thank you so much

[@cleberfeitosa7954]

Amazing video! I tried to change it in order to solve maximization instead of minimization, but couldn't make it work. Can anybody help?

[@travel_studio]

how to do with constraints?

[@ilhamrizkisaputra2097]

Cool

[@raselahmed6609]

How could I cite your codes ?

[@kamerkrali5214]

How can I use it with constant funciton.

[@beh0124]

how to modify this code with two variable in objective function ? Thank you in advance !

[@BrunoZanardii]

I have the same question in mind! @Yarpiz could you help us with that?

[@Piotreq2012]

@@BrunoZanardii Do you have any solution?

[@hulk8889]

@@Piotreq2012 same issues

[@akhilnandhramesh615]

How do you make the algorithm converge?

[@akhilnandhramesh615]

Would 2 way tournament selection work?

[@minasoltanalizadeh9556]

فرادرس!

[@sahibakhurana9547]

Hi! I work for a company that is building an online learning platform. Your videos would be a perfect fit. Would it be possible to get your email ID to discuss this further?

[@KellyIHolly]

I liked the vid a lot! I have been trying to research for video that really explains the ideas in this vid. 👏 👍Your lesson actually is similar to the content of Doctor Ethan. His explanations are actually educational and I actually learned a lot for my school. He is a cool Dr. I suggest you check out his KZbin out and give Doctor Ethan a like! ➡️ #LearnFromDrEthan