concatenation of matrix and final value

%%minimize intercellular movements

part_machine=

[1 0 0 1 0 1 1; 0 1 1 1 0 0 1; 1 0 0 1 1 0 0; 1 0 0 0 1 0 1; 1 1 0 0 0 1 0; 0 1 0 0 0 1 1]

demand=[600;550;620;500;590;600]; numIterations=100;

movement_cost=zeros(numIterations,1)

for k=1:numIterations

    rand_cell_assigntomachines=randi([0,1],7,3);
    Part_cell=part_machine*rand_cell_assigntomachines;
    Part_cell(Part_cell>=1)=1;
    no_of_movements=sum(Part_cell,2)-1;
    movement_cost=sum(bsxfun(@times,no_of_movements,demand))
  end
minval=min(movement_cost)

I want to get the answer of min movement_cost along with the associated rand_cell_assigntomachines matrix from which thi answer is generated..is there any way? because rand_cell_assigntomachines ia a matrix of 7x3 while movement cost is just one value.

Answer 1

[KSSV]

Is this okay?

minval=min(movement_cost) 
[rand_cell_assigntomachines minval(ones(7,1))]

[summyia qamar]

yes God bless you.thanks