How to skip paretosearch iteration
1 visualización (últimos 30 días)
Mostrar comentarios más antiguos
Hi everyone,
I am using paretosearch for multi-objective optimization based on another program output.
However, some certain values of variables, that I am optimizing may cause 0 or a blank result of the function.
Can I somehow skip these iterations in further analysis or I just need to make boundaries tighter?
Best wishes,
Volodymyr Rodin
0 comentarios
Respuestas (1)
Gifari Zulkarnaen
el 26 de Feb. de 2020
In the objective function, you can put a large penalty or result to make it like a bad result, so pattern search won't consider it and move to next step. For example:
function fval = objective(x)
program_output = function_to_call_your_program(x);
if iszero(program_output) | isempty(program_output)
fval = 1000; % large value
else
fval = program_output;
end
end
2 comentarios
Gifari Zulkarnaen
el 26 de Feb. de 2020
There is a "Revival" badge for answering question more than a month old. So I looked around for an unanswered question and came to yours for the badge. I didn't expect you would even check :D
Ver también
Categorías
Más información sobre Surrogate Optimization 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!