Multi-Objective Optimization in R

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Documentation for package ‘rmoo’ version 0.3.2

• DESCRIPTION file
• Package README

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