Functions
def	example ()

def	make_data (n, m)

def	permutation_flow_shop (n, m, p)

Variables
	f

int	m = 10

def	model = permutation_flow_shop(n,m,p)

int	n = 15

def	p = make_data(n,m)

	s

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 More...

	x

Function Documentation

◆ example()

def pfs.example ( )

creates example data set

Definition at line 63 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 54 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 14 of file pfs.py.

References pyscipopt.expr.quicksum().