Discover MakerZone

MATLAB and Simulink resources for Arduino, LEGO, and Raspberry Pi

Learn more

Discover what MATLAB® can do for your career.

Opportunities for recent engineering grads.

Apply Today

brief explanation for simulated annealing?

Asked by sami on 18 May 2013

Greetings Everyone,

Can anybody explain to me the principle of simulated annealing algorithm in a very short example?

Thank you.

0 Comments

sami

Products

No products are associated with this question.

1 Answer

Answer by Jan Simon on 18 May 2013
Accepted answer

This is a question for WikiPedia: simulated annealing, because it does not have a direct relation to Matlab. But it is easy to construct such a relation, so let me try in spite of the off-topic nature:

The goal is to find a global maximum. Imagine the function to be optimized as smooth surface with many local hills. A local optimization method, e.g. a steepest descent method, would find the nearest local maximum, but very likely not the global maximum.

Therefore the simulated annealing adds a large noise at first, which lets the current point move almost freely over the complete area of definition at first. This can be interpreted as "high temperature", such that the changes are dominated by a kind of "Brownian motion". Then the "temperature" is reduced following a specific method, and the local optimization rules the motion more and more. Finally there is a high chance, that a global maximum is found, when the temperature reaches zero.

0 Comments

Jan Simon

Contact us