Minimizing a Function using Simulated Annealing 2

[RichardJ]

The video shows a simulated annealing algorithm finding the global minimum of a function with many local minima. It takes less than a tenth of a second to do this. Due to the limitation of 999 frames in a Mathcad animation the video only shows about the last third of the minimization (the first two thirds are of course a lot more random, and the candidate solutions are at higher points on the surface). Ten iterations are shown in each frame

See here for the worksheet: Minimizing a Function using Simulated Annealing

and here for another video: Video Link : 6848

[ValeryOchkov]

>Due to the limitation of 999 frames in a Mathcad animation

You can try to have frames from -999 to 999

[ValeryOchkov]

See please Optimization with Genetic algorithm

I have plans (with Vladimir Sabanin and his student) to put here more animations with genetic and others algorithm. 

[RichardJ]

You can try to have frames from -999 to 999

Good suggestion, but it doesn't work. FRAME does not like negative numbers