Binary Genetic Algorithm in MATLAB - Part C - Practical Genetic Algorithms Series

[@LEARNWITHPANDA]

*Binary genetic algorithm is very useful to solve continuous optimization problems. Good tutorial. Thanks Yarpiz*

[@xiaoweijie952]

Thanks a lot, Mr. Mostapha, you are doing a really amazing job. Your tutorial video really helped my mathematical modeling competition. I hope you could update videos about immune algorithm, which is highly related with GA.

[@Vaka_meb]

thank you a looooooot , you really helped me improve my coding skills , you're doin a great job ❤❤

[@kdSU30]

Thank you Sir for this fantastic series on GA. I have one query though. During random selection of parents, you have ensured that both parents are compulsorily different before crossover happens. However, during probabilistic selection of parents, you are not enforcing that criteria, which can result in selection of same parent twice for crossover, which will give two offsprings which are same as parents. I may be wrong, your comment is appreciated.

[@loukrizabdelouadoud5042]

great work , thanks doc

[@princessmaram5397]

Thank you Dr. Mostefa for this wonderful video. Could you please do a video about artificiel bee colony?

[@sebastianhelm8792]

Great Job!!! Thank you

[@priyajitbhattacharya81]

Thanks a lot... Can u pls guide how to display the best solution along with best cost

[@bijendrarawat836]

this one is good but sir ,could you explain real-value genetic algorithms

[@alejandromartinezleon877]

Thanks for the videos. I have a doubt. I tried to calculate the Selection Probabilities with the following cost values [-5,-9,4,0,-6,-10,12,-7]. And I got [1.48858081e-01, 3.24332409e-02, 4.58967642e+00, 1.00000000e+00, 1.01701392e-01, 2.21587282e-02, 9.66821285e+01, 6.94834512e-02]. I expected -10 has the higher probability but it is not the case and the reason is because avg_cost

[@kdSU30]

Kindly see my recent comment.

[@user-huss-8362]

Good job, can you send this work (m.file) for the benfit of it ...thank you

[@Abdulghani-ub8fj]

you can find it on the website attached in the description