Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Adaptive simulated annealing (ASA): Lessons learned   Adaptive simulated annealing (ASA) is a global optimization algorithm based
on an associated proof that the parameter space can be sampled much more
efficiently than by using other previous simulated annealing algorithms. The
author's ASA code has been publicly available for over two years. During this
time the author has volunteered to help people via e-mail, and the feedback
obtained has been used to further develop the code. Some lessons learned, in
particular some which are relevant to other simulated annealing algorithms, are
described.

3
The categories of this paper are: physics
5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
12
The categories of this paper are: nucl-th
22
The categories of this paper are: chao-dyn
21
The categories of this paper are: adap-org
33
The categories of this paper are: plasm-ph
16
The categories of this paper are: stat
15
The categories of this paper are: nucl-ex
8
The categories of this paper are: hep-ex
29
The categories of this paper are: funct-an
18
The categories of this paper are: econ
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math