Binary Genetic Algorithm in MATLAB - Part A - 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:
● Problem Definition and Structure of GA Code
● Initialization
● Keeping Track of Best Solution Ever Found
● The Main Loop
● Selecting Parents
● Performing Crossover
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): [Current Part]
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

[@obanjespirit2895]

Learnt a lot about office springs and some things about genetic algorithms. Thanks.

[@khababahmed]

thanks Sir. when ever i have a problem related to optimization i refer to your vides...

[@Amf313]

That was great to see you here. I still prefer the Persian platform which helped me a lot in this route. Thank you for all instructions you have made for us🙏

[@FERO1972]

Excellent presentation!

[@hadialidoust3543]

Thanks a lot for these incredible videos. I learned a lot. Sepas

[@danielebonine8785]

Thanks for being very detailed

[@mrbrightside0076]

Thanks for the video!

[@noohagaad4168]

Man, you are amazing Go on for such lectures I hope soon you can explain CNN networks with python

[@meriemmdioud9249]

hello sir, thank you for this amazing video. I have a question about the initial population, in my case study I have an initial population well defined, how can I do this.thank you in advance.

[@asilkoc14]

Thank you for the interesting tutorial! But, what if we have non-binary values to be optimized? For example, they vary between 0 and 1. Then, how can we change/update MATLAB code?

[@sumisofi3647]

Sir is it possible to model the objective function as parameter of multiple objectives

[@user-oh7on3mv2g]

Sir, You did a good job!

[@YarpizProjects]

Thank you very much.

[@akhilchandra8466]

hello sir can i get code for image reconstruction using genetic algorithm..

[@najlamatti2978]

Thank you sir for this amazing tutorial! Please, How do we determine the length of chromosomes for the genetic algorithm? Why did you put parameter nvar=10?

[@varshikajain1892]

Thank you sir for this amazing tutorial! You are doing a fantastic job. Can you please tell me how to minimize a constrained non linear function using this algorithm?

[@81PRIYAA]

Excellent video Sir!!! Pl tell me to minimize a constrained linear function using the same algorithm

[@Umair_Ali_Abro]

Unable to code at 20:43 time slot. Out code is unable to simulate

[@inferno5335]

Amazing tutorial! I have a question tho, if we have a constraint that needs to be verified, how do we implement it? for example the parameters of x are [x1,x2,x3] the constraint is that x1*5 + x2*8 - x3 >= 500. How do we implement this sir?

[@SouadMath]

ga solver vous aidez bien

[@inferno5335]

Souad Math2016 i know how to solve it with the ga toolbox but I want to implement it in the ga algorithm

[@irfanganteng5206]

kunto ajg nuhun

[@willardshimel2787]

I never had twin uuuuu. Ouixeac. Oufit I hate. Ta TT

[@tanishkanarayan1210]

Wrote the same program in MATLAB. The program didnt even run.