How to reduce the execution time of the given piece of code?
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I have an algorithm "WHO", a function "fobjNoise" and a script "main". I run the main and I get different values of fitness for Noise that is varying from 0 to 40 dB. Then I plot the fitness vs Noise graph. But there are two issues. These are:
1- This code takes too much time. I want to reduce it execution time.
2-When I do pre-allocation for the variables onev, twov etc, like below:
Runs = 50; % Number Of Times To Run The Inner Loop
onev=zeros(Runs,1);
time1=zeros(Runs,1);
two1=zeros(Runs,dim);
twov=zeros(Runs,dim);
then when I try to plot the fitness values obtained , it gives me an error like below:
>> onev=sort(onev,'descend');
>> plot(Noise,onev)
Error using plot
Vectors must be the same length.
>>
Why it is so and what to do so that it takes less time and doesn't give me the error even if I increase the no. of Runs or I vary the Noise levels from 0 to 50 or from -40 to 40 etc.?
9 comentarios
Torsten
el 6 de En. de 2024
Editada: Torsten
el 6 de En. de 2024
You have just reproduced my code. You have not done any changes. So I don't understand what do you mean?
I don't want to enter the discussion. I just added initialization.m and exchange.m from the file exchange that you forgot to include.
Respuestas (1)
Taylor
el 8 de En. de 2024
The Profiler is the perfect tool for this. You will be able to see a thorough breakdown of the runtime of your code, and identify which functions are taking the most time. There are also some common ways to speed up code outlined here
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