Adaptive Restart Hybrid Genetic Algorithm for Constrained Optimization Problems (Case Study 1: BVOP)
Вставка
- Опубліковано 5 вер 2024
- In this video, I’m going to show you my innovative version of genetic algorithm called adaptive re-start hybrid genetic algorithm for constrained optimization problems. This genetic algorithm is much more powerful than the traditional genetic algorithm because of the re-start mechanism and the local search. I have developed a general template code in Matlab, so that new users can quickly and easily customize and update this Matlab code to solve new optimization problems in their fields. No need to waste your precious time building or typing the genetic algorithm from scratch - you can build up a powerful genetic algorithm from this general template code in Matlab. I’m going to demonstrate how to use this general template code to solve a box volume optimization problem.
+ SUBSCRIBE to receive more videos on the topic of "Solving Optimization Problems", please click here: bit.ly/3r4oIkC
+ Download the general template code: bit.ly/3uoPbtY
HERE ARE 6 LISTS OF MY VIDEOS YOU MAY BE INTERESTED IN:
1. Optimization Using Genetic Algorithm:
• Optimization Using Gen...
2. Optimization Using Particle Swarm Optimization:
• Optimization Using Par...
3. Optimization Using Simulated Annealing Algorithm:
• Optimization Using Sim...
4. Optimization Using Optimization Solvers:
• Optimization Using Opt...
5. Optimization Using Matlab:
• Optimization Using Matlab
6. Optimization Using Python:
• Optimization Using Python
If you have any questions, please let me know by leaving a comment below.
About Me: learnwithpanda...
My Blog: learnwithpanda.com
My Facebook: bit.ly/36234ot
My LinkedIn: bit.ly/3bbth5e
Free Music from UA-cam Audio Library.
Thank you for watching - I really appreciate it :)
All of my videos on the topic of Solving Optimization Problems: #MyGeneticAlgorithm, #MyMatlabCode, #SolvingOptimizationProblems
© Copyright by Solving Optimization Problems. ☞ Do not Reup
Amazing sir... Practical implement always amazed me!!!!
Glad to hear that. Many thanks for your support!
Thanks for the great job, sir. It is indeed quite educating. Can you please make a video of a design and optimization of a metasurface unit cell using the GAs?
Many thanks for your suggestion.
Thanks.. i want example about multi objective ga ..one objective is min and the other is max..
Noted. Thanks for your suggestion! I will try
Thanks so much, I have a question about A(ww-rs:ww-1,2), when I try it, kk(8:66,2) have the same value, however kk(106:148,2)also have the same value. but it always will restart at ww=38 as at A(8:37,2) B=0, and break , whatever the value of w. I don't understand why you don't choose the last 30 rows in kk
It means if the best value can't be improved after 30 iterations, the algorithm will restart the search process.
really i am to watch this vidio but can we maximize geograpraphical site of a specific town? when i say this the manner we can build house, electric poles, railways and etc
Yes, I think it is possible
Nice work! Do you have an implementation of this Hybrid Genetic Algorithm that deals with multi-objective optimization scenarios?
Yes, I have a hybrid non-donimated sorting GA (multi objective hybrid GA). Please have a look at it on this channel. Many thanks for watching!
Noted, thanks. How does that compare with NSGA-III in terms of finding the global optima and constraint handling, for large problems with more than a hundred decision variables? Also, please share a Matlab version of the code for that. Thanks in advance
We can compare the pareto fronts. Thanks for the suggestion related to matlab code of NSGA II
Great job ❤️ Do u have a code of Particale swarm optimization or genetic algorithm of well placement using MATLAB or python please !?
Hello Warghi, what do you mean by "well placement"? what is that? I don't understand what you mean.
@@SolvingOptimizationProblems does it mean optimization of reservoir of petroleum of wells placement
Yes that what i mean
ah, I don't have background to understand the problem. But i suggest you to try to understand my GA code and then customize it to solve the problems in your field. This is the fastest way to learn.