How do I format the problem for the Optimization Toolbox?

4 Ansichten (letzte 30 Tage)
Carson
Carson am 7 Dez. 2013
Kommentiert: Walter Roberson am 9 Dez. 2013
I am trying to optimize the dimensions of a heat exchanger that pertains to the lowest cost. I've written a function file that requires 5 variables, and returns a total cost. The function file contains non-linear equations that describe the heat exchanger model.
I am using the optimization tool in matlab, I've defined my objective function: @HeatExchanger and have entered a start point for each variable: [320,3,0.04,22000,7]
I keep getting the error: Optimization running. Error running optimization. Matrix dimensions must agree.
I've watched the videos and read through the documentation, but i'm unclear on the format that the start point should be entered in.
I've watched the video that teaches you how to setup the problem, but in the video the user defines it's own variable matrix, but in the tool how can I know what variables x(1)...x(10) are being assigned to.
All the variables should be positive but there are really no constraints, though it would be nice to know the format for entering those as well...
Can anyone please help?

Akzeptierte Antwort

Alan Weiss
Alan Weiss am 9 Dez. 2013
Please give us more information, such as
  • The objective function signature (function f = HeatExchanger(x)?)
  • The solver call (x = fminunc(@HeatExchanger,x0,options?) and any place in the function where you have matrices
  • The current definition of x0
If you want to try to read the documentation, I suggest that you look at the syntax for objective functions.
Good luck,
Alan Weiss
MATLAB mathematical toolbox documentation
  1 Kommentar
Walter Roberson
Walter Roberson am 9 Dez. 2013
And along with providing that information, you should restore the text of your previous question, http://www.mathworks.co.uk/matlabcentral/answers/108978-can-i-find-the-minimum-output-of-a-function-file
Volunteers tend to stop assisting people who delete their questions.

Melden Sie sich an, um zu kommentieren.

Weitere Antworten (0)

Kategorien

Mehr zu Problem-Based Optimization Setup finden Sie in Help Center und File Exchange

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by