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Multi-Objective Optimization: Easy explanation what it is and why you should use it!

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Multi-Objective Optimization: Easy explanation what it is and why you should use it!
Optimization takes place in a lot of areas and has even more potential in areas it isn't applied yet. In this video, you get a brief overview what multi-objective optimization is and which problem it solves! Especially you will realize that every grocery shopping event includes a multi-objective optimization.
In the second part of the video, we explain you why multi-objective optimization is much more powerful than just summing up all the objectives and doing a single objective optimization!
LinkedIn: / fabianrang
GitLab: gitlab.com/youtube-optimizati...
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Data Science to go: paretos.com

Опубликовано:

12 авг 2024

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Комментарии : 18

@juliandarley 3 года назад

very clear, interesting and helpful. your last illustration was quite dramatic! many thanks.

@aprilreed9324 Месяц назад

Loved the vibe here guys! Thanks for an awesome video!

@abhishekdubey5326 2 года назад

Very well scripted and informative knowledge. Thank you very much.

@bjornsiepe7800 3 года назад

interesting and concise explanation, thank you! :)

@irinachuchueva3181 3 года назад

Hey, thank you! Brilliant explanation! Could you, please, share what Python package is the most convenient for the MOO? And it would be great if you can solve 'the beer problem' with this tool in the next video (or maybe recommend some other Python examples).

@nidhirbhavsar3917 3 года назад

hey man, I think the graph you showed comparing different beers, I think you wanted to illustrate that maximize the quality and minimize the price and maybe the plot be more of a positive curvature here the low quality beer offers at cheap price and vice-versa, just wanted to point this out, thankyou btw great video

@lihanou Год назад

I love this channel! very helpful videos.

@guilhermejoaquim1547 3 года назад

Great video! Many thanks

@soodabehasadi8107 2 года назад

Hey. Thanks for sharing the knowledge. But I did not get how you used the Pareto set to configure the coefficients in the scalarization approach. Would you clarify that?

@jas.moreira 2 года назад

Thank you for the great video!!!

@AliciaBenitez-yl5cp 3 месяца назад

Thank you so much! it has been helpful

@satyajitghosh6384 2 года назад

This is a great video. I have a problem and wondering whether MOP can be used in that. I am doing trajectory reconstruction. There are two sets of data, and using them in a single objective function in an additive fashion gives no improvement. By 'no improvement', I mean after using the two data sets, the reconstruction error is higher than when using only the first data set. This happens because second data set events contain a larger error. Do you think MOP can provide a synergistic effect? I am not familiar with MOP. What I know is that in MOP, objectives have to be 'contradicting' to each other. In my case, I guess my two objectives are 'similar'.

@muhammadsaqib3752 3 года назад

i am a PhD student and now introduced to optimization for my research. my objective is to find the potential of renewables to achieve the Netzero carbon emission scenario of 2050. Now I want to maximize the share of renewables and to minimize the amount of carbon emission in the framework of Pareto optimality frontier (for france and then for the whole european industrial sector). can you please suggest me a little bit that how can proceede. thanks

@nizhonglian 3 года назад

Very clear explanation and simple to understand. Just the voice needs to be tuned up a bit as I need to maximize my speaker volume to hear your nice tutorial. :)

@nizhonglian 3 года назад

@@paretos-com A mic attached to your presentation laptop will give high quality voice. Thanks for your great video! Full support to your channel and have subscribed. Keep good things up!