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set i Node Indexes /1*5/; | |
alias(i,j,h); | |
variable cost Objective Function Value; | |
binary variable x(i,j) 1 if edge between i to j is active 0 otherwise; | |
positive variable T(j) Time at node j; | |
parameters S Source Node /1/, N Destination Node /5/; | |
table c(i,j) Transportation time from node i to j | |
1 2 3 4 5 | |
1 2 3 9 8 20 | |
2 7 3 4 6 18 | |
3 6 5 9 5 6 | |
4 8 7 5 4 9 | |
5 8 5 6 8 7; | |
equations objective_function, same_node(i,j), source_node(i), destination_node(j), flow_constraint(j) | |
sub_tour_elimination_source(j), sub_tour_elimination_nodes(j); | |
objective_function.. cost =e= sum((i,j),x(i,j)*c(i,j)); | |
same_node(i,j)$(ord(i)=ord(j)).. x(i,j) =e= 0; | |
source_node(i)$(ord(i)=1).. sum(j,x(i,j)) =e= 1; | |
destination_node(j)$(ord(j)=N).. sum(i,x(i,j)) =e= 1; | |
flow_constraint(j)$(ord(j)<>1 and ord(j)<>N).. sum(i,x(i,j)) =e= sum(h,x(j,h)); | |
sub_tour_elimination_source(j)$(ord(j)=1).. T(j) =e= 0; | |
sub_tour_elimination_nodes(j)$(ord(j)>1).. T(j) =e= sum(i,x(i,j)*(T(i) + c(i,j))); | |
model routing /all/; | |
solve routing using minlp minimizing cost; | |
display cost.l,x.l; |
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