How to write non linear constraint function in a genetic algorithm optimization toolbox?
1 visualización (últimos 30 días)
Mostrar comentarios más antiguos
I want to use optimization tool box to solve a problem using GA as a solver. But in the toolbox window i have to insert the constraint function, that i don't know how to write. I am using Matlab 7.8.0.347 (R2009a) version.
0 comentarios
Respuestas (2)
Walter Roberson
el 20 de En. de 2016
There is no particular way to write the nonlinear constraint function. It accepts a vector of input values and returns two row vectors of output values (neither of which needs to be the same size as x). In the first output, return one value for each distinct constraint, and the constraints will be considered to be met if all of those values are less than or equal to 0. For the second output, return one value for each distinct constraint, and the constraints will be considered to be met if all of those values are equal to 0.
How you calculate those values is up to you. You can use logical conditions to test ranges. You can use math. You can use image processing tools, whatever you can think of.
0 comentarios
Alan Weiss
el 20 de En. de 2016
The documentation for writing nonlinear constraints is here. For ga in particular, there is an example here that uses nonlinear constraints.
Alan Weiss
MATLAB mathematical toolbox documentation
Ver también
Categorías
Más información sobre Genetic Algorithm en Help Center y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!