algorithm-class |
Virtual Parent Class Algorithm |
associate |
Association Operation in Non-Dominated Genetic Algorithms III |
associate_to_niches |
Association Operation in Non-Dominated Genetic Algorithms III |
compute_niche_count |
Association Operation in Non-Dominated Genetic Algorithms III |
compute_perpendicular_distance |
Association Operation in Non-Dominated Genetic Algorithms III |
crowding_distance |
Calculation of Crowding Distance |
generate_reference_points |
Determination of Reference Points on a Hyper-Plane |
generational_distance |
Objective Values performance metrics |
getCrowdingDistance |
Accessor methods to the crowding distance for NSGA-II results |
getCrowdingDistance-method |
Accessor methods to the crowding distance for NSGA-II results |
getDummyFitness |
Accessor methods to the dummy fitness for NSGA-I results |
getDummyFitness-method |
Accessor methods to the dummy fitness for NSGA-I results |
getFitness |
Accessor methods to the fitness for rmoo results |
getFitness-method |
Accessor methods to the population for rmoo results |
getMetrics |
Accessor methods to the metrics evaluated during execution |
getMetrics-method |
Accessor methods to the metrics evaluated during execution |
getPopulation |
Accessor methods to the population for rmoo results |
getPopulation-method |
Accessor methods to the population for rmoo results |
get_fixed_rowsum_integer_matrix |
Determine the division points on the hyperplane |
get_nadir_point |
Adaptive normalization of population members |
kroA100 |
KROA100 |
kroB100 |
KROB100 |
kroC100 |
KROC100 |
niching |
Niche-Preservation Operation |
non_dominated_fronts |
Calculate of Non-Dominated Front |
nsga |
Non-Dominated Sorting in Genetic Algorithms |
nsga-class |
Virtual Class 'nsga' |
nsga1-class |
Class 'nsga1' |
nsga2 |
Non-Dominated Sorting in Genetic Algorithms II |
nsga2-class |
Class 'nsga2' |
nsga3 |
Non-Dominated Sorting in Genetic Algorithms III |
nsga3-class |
Class 'nsga3' |
nsgabin_lrSelection |
Selection operators in non-dominated genetic algorithms |
nsgabin_Population |
Population initialization in non-dominated genetic algorithms |
nsgabin_raMutation |
Mutation operators in non-dominated genetic algorithms |
nsgabin_spCrossover |
Crossover operators in non-dominated genetic algorithms |
nsgabin_tourSelection |
Selection operators in non-dominated genetic algorithms |
nsgaControl |
A function for setting or retrieving defaults non-dominated genetic operators |
nsgaMonitor |
Monitor non-dominated genetic algorithm evolution |
nsgaperm_lrSelection |
Selection operators in non-dominated genetic algorithms |
nsgaperm_oxCrossover |
Crossover operators in non-dominated genetic algorithms |
nsgaperm_Population |
Population initialization in non-dominated genetic algorithms |
nsgaperm_simMutation |
Mutation operators in non-dominated genetic algorithms |
nsgaperm_tourSelection |
Selection operators in non-dominated genetic algorithms |
nsgareal_lrSelection |
Selection operators in non-dominated genetic algorithms |
nsgareal_polMutation |
Mutation operators in non-dominated genetic algorithms |
nsgareal_Population |
Population initialization in non-dominated genetic algorithms |
nsgareal_raMutation |
Mutation operators in non-dominated genetic algorithms |
nsgareal_sbxCrossover |
Crossover operators in non-dominated genetic algorithms |
nsgareal_spCrossover |
Crossover operators in non-dominated genetic algorithms |
nsgareal_tourSelection |
Selection operators in non-dominated genetic algorithms |
nsga_Crossover |
Crossover operators in non-dominated genetic algorithms |
nsga_lrSelection |
Selection operators in non-dominated genetic algorithms |
nsga_Mutation |
Mutation operators in non-dominated genetic algorithms |
nsga_Population |
Population initialization in non-dominated genetic algorithms |
nsga_Selection |
Selection operators in non-dominated genetic algorithms |
nsga_spCrossover |
Crossover operators in non-dominated genetic algorithms |
nsga_tourSelection |
Selection operators in non-dominated genetic algorithms |
numberOrNAOrMatrix-class |
Virtual Class 'numberOrNAOrMatrix - Simple Class for subassigment Values' |
performance_metrics |
Objective Values performance metrics |
PerformScalarizing |
Adaptive normalization of population members |
plot |
Methods for Function 'plot' in Package 'rmoo' |
plot,nsga,missing |
Methods for Function 'plot' in Package 'rmoo' |
plot-method |
Methods for Function 'plot' in Package 'rmoo' |
print |
Methods for Function 'print' in Package 'rmoo'. |
print-method |
Methods for Function 'print' in Package 'rmoo'. |
progress |
Methods for Function 'progress' in Package 'rmoo' |
progress-method |
Methods for Function 'progress' in Package 'rmoo' |
reference_point_multi_layer |
Determination of Multi-layer Reference Points |
rmoo |
R Multi-Objective Optimization Main Function |
rmoo-func,rmoo-function |
R Multi-Objective Optimization Main Function |
rmoo_func |
R Multi-Objective Optimization Main Function |
scale_reference_directions |
Scale Reference Points |
sharing |
Calculation of Dummy Fitness |
summary |
Methods for Function 'summary' in Package 'rmoo' |
summary-method |
Methods for Function 'summary' in Package 'rmoo' |
UpdateIdealPoint |
Adaptive normalization of population members |
UpdateWorstPoint |
Adaptive normalization of population members |
update_points |
Adaptive normalization of population members |