Hi,
my model need these constraints
- if y1(m1,i) = 0, there are all non-basic variables [w1(i,j1a);w2(i,j2a)] and [x1(m1,j1a);x2(m1,j2a)];
- if y1(m1,i)= 1 there is exactly one binary variable in {w1(i,j1a); w2(i,j2a)} = 1 corresponding to unique binary variable in {x1(m1,j1a); x2(m1,j2a)} = 1
The meaning of constraints is if y1(m1,i) = 0 then w1(i,j1a) + w2(i,j2a) = 0
x1(m1,j1a) + x2(m1,j2a) = 0
if y1(m1,i) = 1 then w1(i,j1a) + w2(i,j2a) = 1
x1(m1,j1a) + x2(m1,j2a) = 1
Regarding about the question of Marcel Hunting, if y1(m1,Ostende)=1 for m1 = Haarlem, i = Ostende
w1(Ostende, J1-1) = x1(Haarlem, J1-1) (j1a = J1-1)
w2(Ostende, J2-1) = x2(Haarlem, J2-1) (j2a = J2-1)
and exactly 1 variable in {x1(Haarlem,J1-1); x2(Haarlem, J2-1)} = 1
Actually, as Marcel Hunting analyzed, I make a lot of duplicated constraints, but how can I reduce or avoid them without losing the meaning of model?
Best regards,
On Thursday, August 1, 2013 3:37:23 PM UTC+2, DucMinh Nguye wrote: