creates example data set
Definition at line 64 of file pfs.py.
◆ make_data() def pfs.make_data ( n, m )make_data: prepare matrix of m times n random processing times
Definition at line 55 of file pfs.py.
◆ permutation_flow_shop() def pfs.permutation_flow_shop ( n, m, p )gpp -- model for the graph partitioning problem Parameters: - n: number of jobs - m: number of machines - p[i,j]: processing time of job i on machine j Returns a model, ready to be solved.
Definition at line 15 of file pfs.py.
References pyscipopt.expr.quicksum().
◆ f ◆ m ◆ model ◆ n ◆ p ◆ s ◆ seq list seq = [j for (k, j) in sorted([(k, j) for (j, k) in x if model.getVal(x[j, k]) > 0.5])]for (j,k) in sorted(x): if x[j,k].X > 0.5: print(x[j,k].VarName,x[j,k].X
for i in sorted(s): print(s[i].VarName,s[i].X
for i in sorted(f): print(f[i].VarName,f[i].X
Definition at line 106 of file pfs.py.
◆ xRetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4