I watched "PROC OPTMOEL: Solving Optimization Problems with Hybrid Approaches_ Rob Pratt" via youtube.
It was really helpful for me, Thank you so much.
I want to get a back data and SAS Code, Is it possible?
I am studying of Optimization to find the best location to reach everywhere easily.
I wait your reply.
Attached is the code for the p-median example.
Thank you for your reply.
The AssignImpliesBuild is declared twice in 'pMedianMILP.sas'.
Could you explain?
The second declaration is commented out:
/* if customer i assigned to site j, then facility must be built at j */
con AssignImpliesBuild {i in CUSTOMERS, j in CUSTOMERS}:
Assign[i,j] <= Build[j];
* con AssignImpliesBuild {j in CUSTOMERS}:
sum {i in CUSTOMERS} Assign[i,j] <= card(CUSTOMERS) * Build[j];
Both families of linear constraints enforce the logical implication that Assign[i,j] = 1 implies Build[j] = 1. The first (disaggregated) version yields a tighter linear programming relaxation, but the second (aggregated) version yields fewer constraints.
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