How to select a row vector with maximum fitness value if few of vectors are restricted to consider?

I want to select a row vector ‘NS’ with maximum ‘newResultTF’ value when some of these row vectors are not considered for evaluation which appears in a certain list ‘TM’.

For example, I have a five row vectors under variable ‘NS’

NS(:,:,1) =  6     1     1     1     1
NS(:,:,2) =  5     3     1     1     1
NS(:,:,3) =  5     1     8     1     1
NS(:,:,4) =  5     1     1     3     1
NS(:,:,5) =  5     1     1     1     7

And their fitness values are under variable ‘newResultTF’

newResultTF(:,:,1) =  104
newResultTF(:,:,2) =  101
newResultTF(:,:,3) =  95
newResultTF(:,:,4) =  103
newResultTF(:,:,5) =  89

Restricted row vector are under variable ‘TM’

TM(:,:,1) =  6     1     1     1     1
TM(:,:,2) =  5     1     8     1     1

Now I want to select row vector ‘NS’ with maximum ‘newResultTF’ value except vectors in ‘TM’. For example in this case the selected vector is

NS(:,:,4) =  5     1     1     3     1
With maximum ‘newResultTF’ value
newResultTF(:,:,4) =  103

Please help. Thanks in anticipation!

Answer 1

[KSSV]

NS(:,:,1) =  [6     1     1     1     1];
NS(:,:,2) =  [5     3     1     1     1];
NS(:,:,3) =  [5     1     8     1     1];
NS(:,:,4) =  [5     1     1     3     1];
NS(:,:,5) =  [5     1     1     1     7];

NS = squeeze(NS)' ;

newResultTF(:,:,1) =  104 ;
newResultTF(:,:,2) =  101 ;
newResultTF(:,:,3) =  95 ;
newResultTF(:,:,4) =  103 ;
newResultTF(:,:,5) =  89 ;

maxdata = squeeze(newResultTF)' ;
[val,id] = sort(maxdata,'descend') ;

TM(:,:,1) =  [6     1     1     1     1] ;
TM(:,:,2) =  [5     1     8     1     1] ;
TM = squeeze(TM)' ;

for i = 1:length(maxdata)
    if ~ismember(NS(id(i),:),TM,'rows')
        iwant = NS(id(i),:) ;
        break
    end

end