benchmarkGeneratorFSP: Create Flow shop Scheduling Problem (FSP) Benchmark
In CEGO: Combinatorial Efficient Global Optimization
Description
Usage
Arguments
Value
See Also
Examples
View source: R/permutationBenchmarkFunctions.R
Description
Creates a benchmark function for the Flow shop Scheduling Problem.
Usage
1
benchmarkGeneratorFSP(a, n, m)
Arguments
a
matrix of processing times for each step and each machine
n
number of jobs
m
number of machines
Value
the function of type cost=f(permutation)
See Also
benchmarkGeneratorQAP, benchmarkGeneratorTSP, benchmarkGeneratorWT
Examples
1
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n=10
m=4
#ceate a matrix of processing times
A <- matrix(sample(n*m,replace=TRUE),n,m)
#create FSP objective function
fun <- benchmarkGeneratorFSP(A,n,m)
#evaluate
fun(1:n)
fun(n:1)
CEGO documentation built on May 14, 2021, 1:08 a.m.
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Description Usage Arguments Value See Also Examples
View source: R/permutationBenchmarkFunctions.R
Description
Creates a benchmark function for the Flow shop Scheduling Problem.
Usage
1 | benchmarkGeneratorFSP(a, n, m)
|
Arguments
a |
matrix of processing times for each step and each machine |
n |
number of jobs |
m |
number of machines |
Value
the function of type cost=f(permutation)
See Also
benchmarkGeneratorQAP, benchmarkGeneratorTSP, benchmarkGeneratorWT
Examples
1 2 3 4 5 6 7 8 9 | n=10
m=4
#ceate a matrix of processing times
A <- matrix(sample(n*m,replace=TRUE),n,m)
#create FSP objective function
fun <- benchmarkGeneratorFSP(A,n,m)
#evaluate
fun(1:n)
fun(n:1)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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