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Solving the Travelling Salesman Problem using Ant Colony Optimization 

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25 авг 2024

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Комментарии : 14   
@wolfinthesuit
@wolfinthesuit 2 года назад
I hate those damn salesmen can't they solve they problems? I already have problems by my own!!
@ibrahimaba8966
@ibrahimaba8966 2 года назад
😅😅 this is quite easy
@patrickstival6179
@patrickstival6179 3 года назад
Nice video. I should probably try to implement this
@CosmicLF
@CosmicLF Год назад
You are amazing this helped me so much
@mohsenabdelaziz9476
@mohsenabdelaziz9476 3 года назад
thanks alot for ur great work
@aenber
@aenber Год назад
Really good Video:) thank you 😊
@greglouis5779
@greglouis5779 2 года назад
What if my graph have n number of nodes, how can I modify the ACO to travel from a specific source to a specific destination without passing through all the n number of nodes but only the nodes to the destination and that's it?
@learnbyexample24
@learnbyexample24 2 года назад
You just have to sample paths from the source S to the destination D, rather than all sources and destinations.
@tamseel101
@tamseel101 Год назад
I used your code but it only generated graph. What do u do to auto solve after run?
@learnbyexample24
@learnbyexample24 Год назад
You got to check the key binding for the 'optimize' action.
@36nibs
@36nibs 2 года назад
this doesnt account for alternative directions and axis since its an ant colony you should have 6 axis (up and down) of direction instead of 4 (compass directions)
@learnbyexample24
@learnbyexample24 2 года назад
The graph is a planar embedding only, actual physical paths can be three dimensional sure.
@cheezeworm
@cheezeworm Год назад
tsp is not np-complete...
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