tpls50x20_1_MWT: Various strategies of Two-Phase Local Search applied to the...
In moocore: Core Mathematical Functions for Multi-Objective Optimization
tpls50x20_1_MWT R Documentation
Various strategies of Two-Phase Local Search applied to the Permutation
Flowshop Problem with Makespan and Weighted Tardiness objectives.
Description
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:
algorithmTPLS search strategy
Makespanfirst objective values.
WeightedTardinesssecond objective values.
runindex of the run.
Source
\insertRefDubLopStu2011amaimoocore
Examples
data(tpls50x20_1_MWT)
str(tpls50x20_1_MWT)
moocore documentation built on Aug. 8, 2025, 6:12 p.m.
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| tpls50x20_1_MWT | R Documentation |
Various strategies of Two-Phase Local Search applied to the Permutation Flowshop Problem with Makespan and Weighted Tardiness objectives.
Description
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:
algorithmTPLS search strategy
Makespanfirst objective values.
WeightedTardinesssecond objective values.
runindex of the run.
Source
\insertRefDubLopStu2011amaimoocore
Examples
data(tpls50x20_1_MWT)
str(tpls50x20_1_MWT)
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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