How to know the optimal combination

Hi,
I have below matrix:
10.0 20.0 55.0 15.0 102.0 90.0
20.7 10.0 58.5 10.8 120.3 89.6
9.00 35.9 38.3 16.8 89.6 96.3
13.2 38.6 42.8 5.40 63.5 95.4
I want to know the optimal combination of column1~4 which yield smaller values in column5, and higher value in column6.
Column 1~4 is the combination (in percentage), column 5~6 are the performance indexes.
  1. Criterion of optimum(good performance): The column 5 should be smaller, and column6 should be higher. How to know which combination (column1~4) yield the good results
  2. How to use "bruit force method"

 Accepted Answer

How do you calculate the performance indices from the first four columns?
To find the linear regression parameters for example:
M = [10.0 20.0 55.0 15.0
20.7 10.0 58.5 10.8
9.00 35.9 38.3 16.8
13.2 38.6 42.8 5.40];
C5 = [102.0; 120.3; 89.6; 63.5];
C6 = [90.0; 89.6; 96.3; 94.4];
B5 = M\C5; % Parameters For The Current Column #5
B6 = M\C6; % Parameters For The Current Column #6

6 Comments

Column 5 & 6 are not calculated from column1~4(in fact they are retrive from tool). Can brute force method help(how to use it?
What tool?
What does the tool do internally to calculate the values you want?
If it does not use columns 1-4, what does it use as its inputs? How do columns 1-4 relate to all this?
Sir, Column1~4 is combination we set, and we check do some characterization. Column1~4 is inputs, and column5~6 are outcomes. I want to check for optimal combination. Colum5&6 indirectly rely on column 1~4, but the column5&6 are not computed from column1~4.
I am completely lost.
Sir,
column 5&6 ofcourse depends on column1~4, but not calculated using column1~4. But column5&6 are strongly depends on column1~4.
That does not tell me anything useful.
I will delete my Answer in a few hours.

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