Lecture 40: NSGA-II Examples

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  • Опубліковано 10 гру 2024

КОМЕНТАРІ • 35

  • @SolvingOptimizationProblems
    @SolvingOptimizationProblems 4 роки тому +9

    *The best explanation and example about multi-objective genetic algorithm on UA-cam. Does anyone agree with me?*

  • @luishumbertoninoalvarez2287
    @luishumbertoninoalvarez2287 5 років тому +11

    Amazing!!! I Finally understood the crowding distance. Great explanation Professor. Thanks!!!

  • @ksjksjgg
    @ksjksjgg Рік тому

    Great lecture , easy to understand the concept and application. Thanks!

  • @luissalinassanmartin576
    @luissalinassanmartin576 5 років тому +5

    Thanks profesor...any chance to have a similar lecture for NSGA III ?

  • @cornevanzyl5880
    @cornevanzyl5880 7 місяців тому

    Thank you. Clicked the first time for me

  • @YashParab-ut3br
    @YashParab-ut3br 7 місяців тому

    How did r & h value selected in mutation?? are they are random represented for off spring..??

  • @jackc-x7z
    @jackc-x7z Рік тому

    great lecture!!i almost cry!!! thank you professor!!!!

  • @t.n.m.a.
    @t.n.m.a. 2 роки тому

    Great Explanation. Thank You.

  • @kishalaybairagi5999
    @kishalaybairagi5999 4 роки тому

    excellent lecture.... it helped me a lot

  • @dhruvrajsinhvansia7599
    @dhruvrajsinhvansia7599 5 років тому +2

    Can someone explain me how to encode?
    i know how to convert decimal to binary, but here something different, i talking about generation of initial population at 6:13
    and also tell me lecture no. for crossover and mutation.
    Thanks in advance

  • @aminuabdulsalami4325
    @aminuabdulsalami4325 5 років тому +1

    Thank you Professor. It was a great lecture.

  • @MuhammadSatrioWicaksono
    @MuhammadSatrioWicaksono 5 років тому

    Terimakasih banyak prof telah memberi pencerahan dalam pengerjaan tugas akhir saya!

  • @yaraali4493
    @yaraali4493 3 роки тому

    Thanks , Can i get pdf of this lectuer?

  • @akhilnandhramesh615
    @akhilnandhramesh615 3 роки тому +1

    One question. In case we set the distance of boundary values to infinity while calculating crowding distance, won't we always end up chosing one of the values which has infinite crowding distance?

    • @caioliberatocalixto
      @caioliberatocalixto 3 роки тому

      I was thinking exactly the same. Maybe we could ignore the the function in the case where the point is a boundary and multiply by 2 the other function. So we would be able to compare. But i'm not sure this procedure is correct.

    • @chinmaypachchhao489
      @chinmaypachchhao489 3 роки тому

      That's the whole point in assigning it infinity. Those are the least crowded points, so should always be selected to achieve population diversification and avoid local optimization

  • @vinays15
    @vinays15 4 роки тому

    Thanks for this lecture, helped a lot for my project.

  • @emilykambalame2004
    @emilykambalame2004 3 роки тому

    Where is the m-10 and m-11 coming from?

  • @anshulthakur3806
    @anshulthakur3806 4 роки тому

    Thanks a lot sir. Very helpful

  • @dev3434
    @dev3434 6 років тому

    Thank you for this video sir , but this video is available in NPTEL list ?? I need more video on cross over probability and mutation probability..?

  • @عبدالرحمنمحمد-ج9ر4ض

    Thanks profesor.

  • @pujabhakta8408
    @pujabhakta8408 4 роки тому

    How to calculate decimal value of r and h from a binary no. Plz explain

    • @computertutor3951
      @computertutor3951 4 роки тому

      Have you got any answer?
      I am also confused abt that

  • @haidarhosamo391
    @haidarhosamo391 2 роки тому

    Thank you!

  • @umarismail4627
    @umarismail4627 5 років тому +1

    u saved me

  • @jinyangchen8527
    @jinyangchen8527 4 роки тому

    Thanks, sir!

  • @tarundeepsingh4495
    @tarundeepsingh4495 4 роки тому

    thank you sir you really helped a lot

  • @birhanedesta9717
    @birhanedesta9717 5 років тому

    Thanks ..sir

  • @w565u44
    @w565u44 5 років тому

    thank you sir , that‘s good