How To Solve An Optimization Problem Using Genetic Algorithm (GA) Solver In Matlab

In this video, you will learn how to solve an optimization problem using Genetic Algorithm (GA) solver in Matlab. In addition, you will learn how to generate a code from the GA solver, so that you can run the solver a large number of times, say 1000 times, easily.

Genetic algorithm solver or GA solver in Matlab is a powerful tool, which can solve various optimization problems in different fields. It is very easy to use and very effective. Let's see.

HERE ARE 6 LISTS OF MY VIDEOS YOU MAY BE INTERESTED IN:
1. Optimization Using Genetic Algorithm:
2. Optimization Using Particle Swarm Optimization:
3. Optimization Using Simulated Annealing Algorithm:
4. Optimization Using Optimization Solvers:
5. Optimization Using Matlab:
6. Optimization Using Python:

If you have any questions, please let me know by leaving a comment below.

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[chandrasekhar]

Thank you very much sir for ur video and also can u make a video on Fuzzy logic controller optimization. I’m trying since many days but not getting perfect video related to Fuzzy optimization.

[NasirUddin-imzb]

Great work sir ..need more your support

[hendazorganiagrebi]

thank you for the explication, my questions are:
1/what are the criteria we are based on to be able to change parameters appearing in the optimization tool window
2/how can we verify the correct result that give the simulation, especially we have different results by changing parameters

[jacobvk]

Hai sir well explained Thankyou so much. will you please make a video based on antenna array optimization via thinning by genetic algorithm

[danielgonzalorodriguez]

Great video,

Anyone knows if the code’d run in the latest versions of Matlab where optimtool has been removed?

Thanks

[samsondavid]

Thanks sir, it is a good one, but you need to be talking as you are taking step so that it can help us sir as some of us do not laptop to be seing it clearly sir.

[kamalpreetsingh]

Thank you Sir for this perfect video, who to resolve this error
Optimization terminated: average change in the spread of Pareto solutions less than options.FunctionTolerance.

[aatifameer]

Thank you sir, It's really helpful. I have a project on optimization of leaf spring using a genetic algorithm. Can you please let me how to solve this problem.

[amianifineug]

Thank you for sharing the video! Please I want to use my structure using Silvaco and I use GA with matlab
how I use AG matlab is an interface ( matlab and silvaco) Thank you

[anggacahyaputra]

Thank you sir for this video. Honestly, I need your help for my thesis. Could you please help me?

[jamesomirambe]

i want to optimise the kuz ram fragmentation model how could the coding be like? can i use the GA solver still or .

[godsgracegirlg]

hi, thanks for such a good video.
however while running the function through optimization tool & through the generated code, why i am getting different fval.

[eusandre]

Hi, can I ask you to which Matlab GA parameters correspond the parameters used in this scientific paper? "Analysis and dimensional synthesis of the DELTA
robot for a prescribed workspace" - M.A. Laribi, L. Romdhane, S. Zeghloul
I'm trying to make the dimensioning of a delta robot using this approach but the results of my optimization are not as good as the one obtained in this paper. The name of their parameters are different from the one in Matlab so I can't run the algorithm like them, and I think this is the problem.
Could you suggest me how should I tune them? Thank you
I leave here the parameters table with names in case you can't open the paper due to copyrights.


The population size Nind: 70

The maximal generation number MaxGen: 100
The variable number Nvar: 4
The generation gap Ggap: 0.85
The mutation rate F1: 0.64
The shrinking mutation factor F2: 0.615
The recombination rate Opt1: 0.623
The shrinking recombination factor Opt2: 0.553

[yaraali]

Thanks..
Can I solve problems that have maximization objective function using this solvar??and how?

[tamojit]

Sir, I am dealing with a genetic algorithm problem where I cannot define my variables to the objective function. My variables generate a result in another simulation software. That result will be given in the objective function. With every simulation run result will be stored to the objective function. How to write the GA code to get optimized values of variables? NB- simulation platform is connected to Matlab and can be controlled by Matlab

[HarpreetSingh-qeoc]

is there some commercial online solver available for matlab GA function?

[yuganshjain]

Dear sir,
I want to implement GA in stock market prediction and want the Sharpe ratio as an objective function. If you could help it will be very helpful.
Thank you very much in advance.

[carlgauss]

can we use integration in the place of summation
i just want to find optimal control for my Mathematical model
how should i do it matlab
can u help??

[vasundharavsvnit]

IS ROUTING AND WAVELENGTH ASSIGNMENT IN ELASTIC OPTICAL NETWORK CAN BE DONE USING GA IN MATLAB?

[melika]

hi sir. i have a project which is to find the min value of the given fx (fx should be single-variable and can be whatever the user wants) by using genetic algorithm. for example the user enters f(x)=x^2-1 as an input and program should give us the min value for this function by using GA algorithm.
i don know how to implement it . it should be in python. plz help me