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From: lfgm aydin on 26 Apr 2010 06:45
My question is:
is it possible to minimize a function(two variables) with a nonlinear constraint
using simulated annealing solver in MATLAB Optimization Toolbox
From: Paul Kerr-Delworth on 27 Apr 2010 06:06
Hi,

The simulated annealing solver in the Global Optimization Toolbox does not support nonlinear constraints.

Do you have to use a simulated annealing solver for your problem? If your requirement is just that the solver be derivative free, then you could try the pattern search or genetic algorithm solvers which do accept nonlinear constraints.

For more information on these solvers, see the documentation:

Pattern Search:
<<http://www.mathworks.com/access/helpdesk/help/toolbox/gads/f6010.html>>

Genetic Algorithm:
<<http://www.mathworks.com/access/helpdesk/help/toolbox/gads/f6010dfi3.html>>

Hope this helps.

Best regards,

Paul

"lfgm aydin" <leventaydinn(a)gmail.com> wrote in message <hr3qs6$64m$1(a)fred.mathworks.com>...
> My question is:
> is it possible to minimize a function(two variables) with a nonlinear constraint
> using simulated annealing solver in MATLAB Optimization Toolbox
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