hillClimbing 8 queens

A video illustrating local search and hill climbing in particular. It is a continuation of my other videos like A*. It is based on AI, a modern approach. It may be hard to understand without the book. What do you think?

[@luiscortes6563]

Perfect! Just what I needed to get a better understanding on how to implement this.

[@ryanprasad2090]

Badass explanation. Thanks!

[@maker_meezy]

your tutorials are great!

[@ArminBishop]

I own you my exam. You are my saviour. Best explanation ever!!!

[@ariestaimaginary6386]

Thanks for helping me pass this semester

[@wyatt1339]

Why is 12 the highest value successor? Do you mean lowest value?

[@bharaneedharandhanaraj5398]

Where i the next video?

[@mcharrisproductions]

One of the solutions to solve optimization issues for hill climbing algorithm is the simulated annealing method: th-cam.com/video/C86j1AoMRr0/w-d-xo.html

[@bhaskardixit1564]

Thank you sir

[@Sahar3d]

Very nice and clear tutorial. Did you post the next video of this topic?

[@mcharrisproductions]

One of the solutions to solve optimization issues for hill climbing algorithm is the simulated annealing method: th-cam.com/video/C86j1AoMRr0/w-d-xo.html

[@ahmet9446]

Perfect Video. In 2:16 Can I say 'My Thinking' as objective function. For Example: When guess is 1 and my thinking is 100, I say 1 is far from what is my thinking. So I can say 1 is far from answer, because I know 100. Can I say 100 is my objective function?

[@nenani1817]

It was good thank you. could be better though

[@fiacobelli]

always