Man pages for rmoo
Multi-Objective Optimization in R
| algorithm-class | Virtual Parent Class Algorithm |
| associate | 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 |
| getCrowdingDistance-methods | Accessor methods to the crowding distance for NSGA-II results |
| getDummyFitness-methods | Accessor methods to the dummy fitness for NSGA-I results |
| getFitness-methods | Accessor methods to the fitness for rmoo results |
| get_fixed_rowsum_integer_matrix | Determine the division points on the hyperplane |
| getMetrics-methods | Accessor methods to the metrics evaluated during execution |
| getPopulation-methods | Accessor methods to the population for rmoo results |
| 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 |
| 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' |
| nsga-class | Virtual Class 'nsga' |
| nsgaControl | A function for setting or retrieving defaults non-dominated... |
| nsga_Crossover | Crossover operators in non-dominated genetic algorithms |
| nsgaMonitor | Monitor non-dominated genetic algorithm evolution |
| 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 |
| numberOrNAOrMatrix-class | Virtual Class 'numberOrNAOrMatrix - Simple Class for... |
| performance_metrics | Objective Values performance metrics |
| plot-methods | Methods for Function 'plot' in Package 'rmoo' |
| print-methods | Methods for Function 'print' in Package 'rmoo'. |
| progress-methods | Methods for Function 'progress' in Package 'rmoo' |
| reference_point_multi_layer | Determination of Multi-layer Reference Points |
| rmoo_func | R Multi-Objective Optimization Main Function |
| rmoo-package | rmoo: Multi-Objective Optimization in R |
| scale_reference_directions | Scale Reference Points |
| sharing | Calculation of Dummy Fitness |
| summary-methods | Methods for Function 'summary' in Package 'rmoo' |
| update_points | Adaptive normalization of population members |
