Simulated annealing was first introduced in 1983 for minimizing a function over discrete variables. Continuous variables require some modifications, which can be complicated, or just not produce good results.

A simple and adaptive algorithm is presented and demonstrated to give favorable results in the decomposition of mixtures of normal distributions and other instances of optimization over continuous variables.
 

Convenor:Aidan Sudbury