Last data update: 2014.03.03
R: Ignizio (1976) Example Data Sets
ignizio.example.3.3 R Documentation
Ignizio (1976) Example Data Sets
Description
The data set that corresponds to Example 3.3
found in Ignizio (1976). These are
examples of goal programming problems solved
using the methods described by author.
Find
{mathbf{x}'} = [ x_1, x_2 ] ,
{mathbf{n}'} = [ n_1, n_2, n_3, n_4 ] and
{mathbf{p}'} = [ p_1, p_2, p_3, p_4 ] that minimize
mathbf{a} = [ (2 p_1 + 3p_2), (n_3), (p_4) ]
The objectives are as follows
x_1 + x_2 + n_1 - p_1 = 10
x_1 + n_2 - p_2 = 4
5 x_1 + 3 x_2 + n_3 - p_3 = 56
x_1 + x_2 + n_4 - p_4 = 12
mathbf{x}, mathbf{n}, mathbf{p} ≥ mathbf{0}
The solution is {mathbf{x}'} = [ 4, 6 ] and
mathbf{a} = [ 0, 18, 0]
Format
The data set is an R file that creates the coefficients matrix,
the vector of target values and the data frame of achievement
goals.
Author(s)
Frederick Novomestky fnovomes@poly.edu
References
Ignizio, J. P. (1976). Goal Programming and Extensions, Lexington Books.
See Also
ignizio.datasets
Examples
data( ignizio.example.3.3 )
soln <- llgp( coefficients, targets, achievements )
Results