Discrete optimization with Genetic Algorithm - help
1 view (last 30 days)
Show older comments
Hi again, I have trouble carrying out this optimization procedure. I know that I should use penalty functions when I have a constrained problem. Does MATLAB implement any penalty? Is there any example on this method?!
0 Comments
Accepted Answer
Alan Weiss
on 6 Sep 2012
The documentation deals with nonlinear inequality constraints. The underlying algorithm for the nonlinear constraint solver uses penalty functions, but you don't have to do anything special, such as write your own penalty.
Alan Weiss
MATLAB mathematical toolbox documentation
9 Comments
Alan Weiss
on 19 Sep 2012
Again, I do not understand you. Sorry.
Perhaps you have a linear constraint in the variables a(x). You can write that as a nonlinear inequality constraint.
Perhaps you have a linear constraint in x. You can use the A, b matrices to represent that constraint.
You might mean something else. In that case, feel free to ask again, but I am afraid we are not communicating well.
Alan Weiss
MATLAB mathematical toolbox documentation
More Answers (0)
See Also
Categories
Find more on Genetic Algorithm in Help Center and File Exchange
Products
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!