Great video. It helped a lot to implement the algorithm in the context of machine scheduling.
@HM-wm7xk
4 ай бұрын
Hi, I can see this Salesmen Travelling Problem is symmetric, i.e., the distance matrix is symmetrical, the distance traveled between two points is the same. By the same way, can I proposed the pheromone travelled between two points in this problem be the same? i.e, the pheromone matrix is symmetrical in the Salesmen Travelling Problem? Will this through affect the solution?
@dylanmortimer5815
Жыл бұрын
Super helpful video, thanks heaps : )
@shivambhushan5080
10 ай бұрын
Sir please explain, if the original path chosen for each ant in the beginning is through transition probabilities and if yes how, or if it is random
@m0elj0n0
Жыл бұрын
Prof Lam, At 11:50 for the AS method: why the contributions from ant 1, 2 and 5 are 1/15? Would you please elaborate on this? Should they be the same as SACO (1/35, 1/55, 1/40)? Thank you.
@hklam2368
Жыл бұрын
Thanks for your comment. The contributions from 1, 2 and 5 are 1/15 because they follow the Ant-quantity AS contribution rule given on the bottom right-hand side of the slide at 11:50. The update rule is Q/d_{ij}(t).
@anonymousvevo8697
Жыл бұрын
Thank you professor
@hklam2368
Жыл бұрын
Thank you.
@anonymousvevo8697
Жыл бұрын
@@hklam2368 Can i contact you regarding this presentation there is point i didn't understand and I'm working on a AI project? thanks
@hildur7168
2 жыл бұрын
Very helpful!
@Darklaki1
Жыл бұрын
thank you sir
@PivotStickmanAnimations
5 ай бұрын
always nice to learn a thing or two from elon musk.
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