Generation of Chromosome in MATLAB
1 view (last 30 days)
Show older comments
M= the total no of machine. C= the total number of cell. P= the total no of parts. t(ij)= the processing time of part j on machine i. T(i)= the available time on machine i. N(j)= the production requirement of part j. w(ij)= machine-part incidence matrix= (t(ij)*N(j))/T(i) x(il)= cell membership matrix, where, x(il) =1 if ith machine is in cell l, otherwise 0. m(lj)= matrix of average cell load, where,
m(lj)= {Sum(i=1to M)(x(il)*w(i,j))}/{sum(i=1 to M)x(il)}
x(il) is basically the arrangement of machines in cell. So, arrangement can be of different type. And I need all the possible types of arrangement. Where, x(il)= [1 0;0 1;1 0;0 1;1 0] When, 1st , 3rd ,and 5th machine is in cell 1 And 2nd and 4th machine is in cell 2. Using this value of x , for all x m(lj) will be calculated, so that we will have the optimized value.
0 Comments
Answers (0)
See Also
Categories
Find more on Genetic Algorithm in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!