フィルターのクリア

Optimization with genetic algorithm

1 回表示 (過去 30 日間)
Johan Johan
Johan Johan 2018 年 4 月 27 日
コメント済み: Johan Johan 2018 年 4 月 28 日
I have this objective function :
E = @(x,y) norm((d(x)-r(x).*y).^2);
I want to optimize vector 'y' using ga ,
if 'd' and 'r' is complex function and 'y' is complex coefficient
I tried with many methods in matlab for find objectiv function appropriate with genetic algorithm,
such as the objective function 'E'.
  6 件のコメント
Walter Roberson
Walter Roberson 2018 年 4 月 28 日
The objective function does need to return a real-valued scalar.
I am trying to understand what the various lengths involved are.
If x is a given scalar (at the time of any given optimization) then that implies that d(x) and r(x) can be computed ahead of time. Let
D = d(x);
R = r(x);
then
E = @(y) norm((D-R.*y).^2);
and we know that D and R and y are complex.
But I am not clear as to whether D and R are (complex) scalars, or if they are vectors, and if y will be a vector or a scalar ?
At the moment I am suspecting that the problem can be solved in other ways.
Johan Johan
Johan Johan 2018 年 4 月 28 日
If
d=exp(-j*x*n);
r=exp(-j*x*(0:n));
I continue to search and i want to round you the correct information as far as I understand, if you encounter things not logical ,tell me , and thank you for your feedback.

サインインしてコメントする。

回答 (0 件)

カテゴリ

Help Center および File ExchangeGenetic Algorithm についてさらに検索

Community Treasure Hunt

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

Start Hunting!

Translated by