Various strategies of Two-Phase Local Search applied to the Permutation Flowshop Problem with Makespan and Weighted Tardiness objectives.

Various strategies of Two-Phase Local Search applied to the Permutation Flowshop Problem with Makespan and Weighted Tardiness objectives.

Usage

tpls50x20_1_MWT

Format

A data frame with 1511 observations of 4 variables:

algorithm

TPLS search strategy

Makespan

first objective values.

WeightedTardiness

second objective values.

set

indices of corresponding conditional Pareto fronts.

Source

DubLopStu2011amaimoocore

Examples

data(tpls50x20_1_MWT)
str(tpls50x20_1_MWT)
#> 'data.frame':	1511 obs. of  4 variables:
#>  $ algorithm        : chr  "1to2" "1to2" "1to2" "1to2" ...
#>  $ Makespan         : num  4280 4238 4137 4024 4014 ...
#>  $ WeightedTardiness: num  10231 10999 11737 14871 17825 ...
#>  $ set              : num  1 1 1 1 1 1 1 1 1 1 ...