From: Ajay on
Is there any code available for "Mixed Variable (Mixed Integer) Non Linear Constrained Optimization" as I am dealing with a optimization problem which has both the continuous and discrete variables in design vector?? Moreover, a single objective function is subjected to multiple constraints.

Thanks....
Ajay
From: James Allison on
The genetic algorithm (ga) in the GADS toolbox can handle MINLPs, but
you will need to create custom crossover and mutation functions for your
particular problem:

http://www.mathworks.com/products/global-optimization/index.html

Here is a solution with a demo:

http://www.mathworks.com/support/solutions/en/data/1-10PDHC/?solution=1-10PDHC

-James

Ajay wrote:
> Is there any code available for "Mixed Variable (Mixed Integer) Non
> Linear Constrained Optimization" as I am dealing with a optimization
> problem which has both the continuous and discrete variables in design
> vector?? Moreover, a single objective function is subjected to multiple
> constraints.
>
> Thanks....
> Ajay