R: Multi-Objective Optimization in R

# Multi-Objective Optimization in R

## Documentation for package ‘rmoo’ version 0.3.2

- DESCRIPTION file.

## Help Pages

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
calc_norm_pref_distance | Calculate Normalized Preference Distance Computes the weighted normalized Euclidean distance between a set of fitness vectors and a set of reference points.
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
modifiedCrowdingDistance | Calculation of Modified Crowding Distance
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'
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,rmoo-main,rmoo-function | R Multi-Objective Optimization Main Function
rmoobin_huxCrossover | Half Uniform Crossover (HUX)
rmoobin_lrSelection | Linear Rank Selection
rmoobin_Population | Population initialization in non-dominated genetic algorithms
rmoobin_raMutation | Mutation operators in non-dominated genetic algorithms
rmoobin_spCrossover | Crossover Operators in Non-Dominated Genetic Algorithms
rmoobin_tourSelection | Tournament Selection
rmoobin_uxCrossover | Uniform Crossover
rmoobin_uxMutation | Uniform Mutation
rmooControl | A function for setting or retrieving defaults non-dominated genetic operators
rmooint_huxCrossover | Half Uniform Crossover (HUX)
rmooint_Population | Population initialization in non-dominated genetic algorithms
rmooint_spCrossover | Crossover Operators in Non-Dominated Genetic Algorithms
rmooint_uxCrossover | Uniform Crossover
rmooint_uxMutation | Uniform Mutation
rmooMonitor | Monitor the execution of rmoo
rmooperm_lrSelection | Linear Rank Selection
rmooperm_oxCrossover | Crossover Operators in Non-Dominated Genetic Algorithms
rmooperm_Population | Population initialization in non-dominated genetic algorithms
rmooperm_simMutation | Mutation operators in non-dominated genetic algorithms
rmooperm_tourSelection | Tournament Selection
rmooreal_lrSelection | Linear Rank Selection
rmooreal_polMutation | Mutation operators in non-dominated genetic algorithms
rmooreal_Population | Population initialization in non-dominated genetic algorithms
rmooreal_raMutation | Mutation operators in non-dominated genetic algorithms
rmooreal_sbxCrossover | Crossover Operators in Non-Dominated Genetic Algorithms
rmooreal_spCrossover | Crossover Operators in Non-Dominated Genetic Algorithms
rmooreal_tourSelection | Tournament Selection
rmoo_Crossover | Crossover Operators in Non-Dominated Genetic Algorithms
rmoo_huxCrossover | Half Uniform Crossover (HUX)
rmoo_lrSelection | Linear Rank Selection
rmoo_main | R Multi-Objective Optimization Main Function
rmoo_Mutation | Mutation operators in non-dominated genetic algorithms
rmoo_Population | Population initialization in non-dominated genetic algorithms
rmoo_spCrossover | Crossover Operators in Non-Dominated Genetic Algorithms
rmoo_tourSelection | Tournament Selection
rmoo_uxCrossover | Uniform Crossover
rmoo_uxMutation | Uniform Mutation
rnsga2 | Reference Point Based Non-Dominated Sorting in Genetic Algorithms II
rnsga2-class | Class 'rnsga2'
scale_reference_directions | Scale Reference Points
sharing | Calculation of Dummy Fitness
startParallel | Start Parallel Backend for rmoo Package
stopParallel | Stop Parallel Backend
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