Multi-Objective Optimization in R
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Documentation for package ‘rmoo’ version 0.2.0
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 |
| 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' |
| 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 |