PySCIPOpt  4.3.0
Python Interface for the SCIP Optimization Suite
rcs Namespace Reference

Functions

def make_1r ()
 
def make_2r ()
 
def rcs (J, P, R, T, p, c, a, RUB)
 

Variables

 a
 
 c
 
 J
 
def model = rcs(J,P,R,T,p,c,a,RUB)
 
 P
 
 p
 
 R
 
 RUB
 
 s
 
 T
 
 x
 

Function Documentation

◆ make_1r()

def rcs.make_1r ( )
creates example data set 1

Definition at line 53 of file rcs.py.

References pyscipopt.Multidict.multidict().

◆ make_2r()

def rcs.make_2r ( )
creates example data set 2

Definition at line 77 of file rcs.py.

References pyscipopt.Multidict.multidict().

◆ rcs()

def rcs.rcs (   J,
  P,
  R,
  T,
  p,
  c,
  a,
  RUB 
)
rcs -- model for the resource constrained scheduling problem
Parameters:
    - J: set of jobs
    - P: set of precedence constraints between jobs
    - R: set of resources
    - T: number of periods
    - p[j]: processing time of job j
    - c[j,t]: cost incurred when job j starts processing on period t.
    - a[j,r,t]: resource r usage for job j on period t (after job starts)
    - RUB[r,t]: upper bound for resource r on period t
Returns a model, ready to be solved.

Definition at line 8 of file rcs.py.

References pyscipopt.expr.quicksum().

Variable Documentation

◆ a

a

Definition at line 113 of file rcs.py.

◆ c

c

Definition at line 113 of file rcs.py.

◆ J

J

Definition at line 113 of file rcs.py.

◆ model

def model = rcs(J,P,R,T,p,c,a,RUB)

Definition at line 114 of file rcs.py.

◆ P

P

Definition at line 113 of file rcs.py.

◆ p

p

Definition at line 113 of file rcs.py.

◆ R

R

Definition at line 113 of file rcs.py.

◆ RUB

RUB

Definition at line 113 of file rcs.py.

◆ s

s

Definition at line 116 of file rcs.py.

◆ T

T

Definition at line 113 of file rcs.py.

◆ x

x

Definition at line 116 of file rcs.py.