[SciPy-user] Constrained Optimization using Simulated Annealing

[Xiaojian Wang]

The bound constraints for design variables x0,x1 ... can be done by
generating the x[i] inside upper and lower bounds easily.
(or by forcing them into bounds),  for other kinds of constraints, say
cj(x0,x2...xn) < 0.  j=1,...   I  like to use penalty
function methods to include them for SA and GA.

xiaojian





On Tue, Apr 22, 2008 at 1:19 PM, lechtlr <lechtlr at yahoo.com> wrote:

>
> Is there way to introduce constraints for the objective function in the
> Simulated Annealing Optimization method in scipy ?
>
> Thanks,
> -Lex
>
>
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