Releases: Evolutionary-Optimization-Laboratory/rmoo
Releases · Evolutionary-Optimization-Laboratory/rmoo
rmoo v0.2.0
- Considerable changes made to the rmoo package:
- All the algorithms implemented in rmoo will now be called through the rmoo() function, passing the strategy to be used as a parameter.
- New s4 methods created, the functions scatter(), pcp(), heatmap() and polar() will be called by the plot method and passing the object and plot type.
- s4 methods: summary() and print() for brief verification of returned results.
- Summary() function deprecated: Now it is executed by the s4 method progress(), the method is used within the execution.
- Other s4 methods created are getFitness(), getPopulation(), getDummyFitness(), getCrowdingDistance(), getMetrics(), they were created so that the user does not need to directly access the object slots.
- The structure of classes and inheritance were improved, following the rules of object-oriented programming.
- Bugs Fixed:
- The non-dominance process was solved, an error was generated when the first front was only made up of one individual.
- ecr, cdata, dplyr, reshape2 packages are now suggested and not imported.
- Only the packages that are exactly necessary or that generate errors if they are not imported are found in import.
rmoo v0.1.8
- Updates requested by CRAN.
rmoo v0.1.7
NEW.md file modified. Changes, improvements, and bugs fixed are listed.
rmoo v0.1.6
RMOO Second Release
New Fixtures:
- The label of the plotting has been modified.
- New reference points approach added.
Bugs Fixed:
- nsga_spCrossover function bug during real-valued crossover.
rmoo v0.1.5
- First CRAN version release
rmoo v0.1.4
- Lines length documentation modified.-
rmoo v0.1.3
- Documentation' Examples modified.-