Ant colony optimization algorithm

Ant colony optimization algorithms (ACO) is a probabilistic technique for solving computational problems which can be reduced to finding good paths through graphs. Artificial ants stand for multi-agent methods inspired by the behavior of real ants.

In the video, I tried to clearly explain how the algorithm works.

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[LaplacescherDaemon]

I really like that in this Video not only the ant or the math part is shown, but instead both

[rtym]

This is without any doubt the best explaination on the internet

[LoisoPondohva]

Eh, liked the last voice better
But other than that, great video

[rg_fella]

You saying "vertice" instead of "vertex" took a second for me to get used to lol

[hisao]

This was an amazing video to explain the concept. Thanks for making it this complete !

[kylemorris]

Solving a problem via algorithm whose brute-force solution would require "all computers and billions of years" is pretty much the textbook example of "work smarter, not harder"

[Shadab_ed]

🐜: Man i am impressed .. you explained me my ancestor technique more clearly than my ancestor. This winter dinner on me

[looalx_WD]

CRAZY GOOD QUALITY in terms of clarity and knowledge. THX MUCH

[relativepi]

This is one of the coolest things I have seen, and I love how you explained it!

[Abir_Hasan_Onowy]

Thank you so much. The animations were very helpful to understand the whole concept specially the iteration part

[bckhusesurvrs]

I think that the first voice was better, also a suggestion from me is that if you made one of those simulation games with this and added the cumulative knowledge of previous videos you could become more popular

[pfever]

great video! I really appreciate how every formula is explained in detail!

[Lol-fozq]

Great video incredibly well explained and illustrated!

[ryvikun]

absolutely great way of explaining it! i believe even a 12 year old can understand this concept just by watching this video 🤯

[VijayVighnesh]

A good video to get clarity on ANT colony optimization...

[tarnja]

Honey wake up, Simulife Hub posted a new video!!!

[meanpillscasper]

This video was crystal clear. Thank you very much sir.

[qualia]

Could you make a video about algorithm that optimize 2d graphs.
So a graph with say 200 nodes where each node has 1-3 connections to other nodes and it needs to move the nodes in a way that is easy to see the connections by a human.
I had this problem (and still do) for a hobby of mine and was only able to make an algorithm that worked up to about 100 nodes before manually manipulating it results in a better graph.
I am wondering if you could have better results.
The algorithm that I use a physic simulation kinda. Every node has velocity and moves with it (although there is a lot of friction) and then they get a force towards connected nodes and a force away from other ones.

[shreeniwaz]

@6:49 the concept told is a bit confusing. How and why the probabilities are put on a number line?

[nidhalabidi]

Amazing explanation! I have a question: When calculating the probability of moving from city_i to city_j at 11:58, what should we do when the amount of pheromone is 0 on all edges. According to the formula we're going to divide by zero!! As a solution for this can we give it a small non-zero initialization?