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PySCIPOpt
4.3.0
Python Interface for the SCIP Optimization Suite
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PySCIPOpt
4.3.0
Python Interface for the SCIP Optimization Suite
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Functions | |
| def | flp (I, J, d, M, f, c) |
| def | make_data () |
Variables | |
| c | |
| list | customers = ["c%s"%i for i in d] |
| d | |
| list | edges = [(i,j) for (i,j) in x if model.getVal(x[i,j]) > EPS] |
| int | EPS = 1.e-6 |
| f | |
| list | facilities = [j for j in y if model.getVal(y[j]) > EPS] |
| G = NX.Graph() | |
| I | |
| J | |
| M | |
| def | model = flp(I,J,d,M,f,c) |
| node_color | |
| nodelist | |
| list | other = [j for j in y if j not in facilities] |
| position = NX.drawing.layout.spring_layout(G) | |
| x | |
| y | |
| def flp.flp | ( | I, | |
| J, | |||
| d, | |||
| M, | |||
| f, | |||
| c | |||
| ) |
flp -- model for the capacitated facility location problem
Parameters:
- I: set of customers
- J: set of facilities
- d[i]: demand for customer i
- M[j]: capacity of facility j
- f[j]: fixed cost for using a facility in point j
- c[i,j]: unit cost of servicing demand point i from facility j
Returns a model, ready to be solved.
Definition at line 11 of file flp.py.
References pyscipopt.expr.quicksum().
| def flp.make_data | ( | ) |
creates example data set
Definition at line 49 of file flp.py.
References pyscipopt.Multidict.multidict().
| list other = [j for j in y if j not in facilities] |
1.8.17