Man pages for ecr
Evolutionary Computation in R
| addUnionGroup | Grouping helpers |
| approximateRefPoints | Helper function to estimate reference points. |
| approximateRefSets | Helper function to estimate reference set(s). |
| asemoa | Implementation of the NSGA-II EMOA algorithm by Deb. |
| categorize | Assign group membership based on another group membership. |
| computeAverageHausdorffDistance | Average Hausdorff Distance computation. |
| computeCrowdingDistance | Compute the crowding distance of a set of points. |
| computeDistanceFromPointToSetOfPoints | Computes distance between a single point and set of points. |
| computeDominanceRanking | Ranking of approximation sets. |
| computeGenerationalDistance | Computes Generational Distance. |
| computeIndicators | Computation of EMOA performance indicators. |
| computeInvertedGenerationalDistance | Computes Inverted Generational Distance. |
| dominated | Check for pareto dominance. |
| dominated_hypervolume | Functions for the calculation of the dominated hypervolume... |
| dominates | Dominance relation check. |
| doNondominatedSorting | Fast non-dominated sorting algorithm. |
| ecr | Interface to ecr similar to the optim function. |
| ecr_parallelization | Parallelization in ecr |
| ecr_result | Result object. |
| emoa_indicators | EMOA performance indicators |
| evaluateFitness | Computes the fitness value(s) for each individual of a given... |
| explode | Explode/implode data frame column(s). |
| filterDuplicated | Filter approximation sets by duplicate objective vectors. |
| generateOffspring | Helper functions for offspring generation |
| generatesMultipleChildren | Does the recombinator generate multiple children? |
| generators | Population generators |
| getFront | Extract fitness values from Pareto archive. |
| getIndividuals | Extract individuals from Pareto archive. |
| getNumberOfChildren | Number of children |
| getNumberOfParentsNeededForMating | Number of parents needed for mating |
| getPopulationFitness | Access to logged population fitness. |
| getPopulations | Access to logged populations. |
| getSize | Get size of Pareto-archive. |
| getStatistics | Access the logged statistics. |
| getSupportedRepresentations | Get supported representations. |
| initECRControl | Control object generator. |
| initLogger | Initialize a log object. |
| initParetoArchive | Initialize Pareto Archive. |
| initPopulation | Helper function to build initial population. |
| isEcrOperator | Check if given function is an ecr operator. |
| is.supported | Check if ecr operator supports given representation. |
| makeECRMonitor | Factory method for monitor objects. |
| makeEMOAIndicator | Constructor for EMOA indicators. |
| makeMutator | Construct a mutation operator. |
| makeOperator | Construct evolutionary operator. |
| makeOptimizationTask | Creates an optimization task. |
| makeRecombinator | Construct a recombination operator. |
| makeSelector | Construct a selection operator. |
| makeTerminator | Generate stopping condition. |
| mcMST | mcMST |
| mutBitflip | Bitplip mutator. |
| mutGauss | Gaussian mutator. |
| mutInsertion | Insertion mutator. |
| mutInversion | Inversion mutator. |
| mutJump | Jump mutator. |
| mutPolynomial | Polynomial mutation. |
| mutScramble | Scramble mutator. |
| mutSwap | Swap mutator. |
| mutUniform | Uniform mutator. |
| niceCellFormater | Formatter for table cells of LaTeX tables. |
| normalize | Normalize approximations set(s). |
| nsga2 | Implementation of the NSGA-II EMOA algorithm by Deb. |
| plotDistribution | Plot distribution of EMOA indicators. |
| plotFront | Draw scatterplot of Pareto-front approximation |
| plotHeatmap | Plot heatmap. |
| plotScatter2d | Visualize bi-objective Pareto-front approximations. |
| plotScatter3d | Visualize three-objective Pareto-front approximations. |
| plotStatistics | Generate line plot of logged statistics. |
| recCrossover | One-point crossover recombinator. |
| recIntermediate | Indermediate recombinator. |
| recOX | Ordered-Crossover (OX) recombinator. |
| recPMX | Partially-Mapped-Crossover (PMX) recombinator. |
| recSBX | Simulated Binary Crossover (SBX) recombinator. |
| recUnifCrossover | Uniform crossover recombinator. |
| reduceToSingleDataFrame | Combine multiple data frames into a single data.frame. |
| reference_point_approximation | Reference point approximations. |
| registerECROperator | Register operators to control object. |
| replace | (mu + lambda) selection |
| selDomHV | Dominated Hypervolume selector. |
| select | Select individuals. |
| selGreedy | Simple selector. |
| selNondom | Non-dominated sorting selector. |
| selRanking | Rank Selection Operator |
| selRoulette | Roulette-wheel / fitness-proportional selector. |
| selSimple | Simple (naive) selector. |
| selTournament | k-Tournament selector. |
| setDominates | Check if one set is better than another. |
| setup | Set up parameters for evolutionary operator. |
| setupECRDefaultMonitor | Default monitor. |
| smsemoa | Implementation of the SMS-EMOA by Emmerich et al. |
| sortByObjective | Sort Pareto-front approximation by objective. |
| stoppingConditions | Stopping conditions |
| toGG | Transform to long format. |
| toLatex | Export results of statistical tests to LaTeX table(s). |
| toParetoDf | Convert matrix to Pareto front data frame. |
| transformFitness | Fitness transformation / scaling. |
| updateLogger | Update the log. |
| updateParetoArchive | Update Pareto Archive. |
| which.dominated | Determine which points of a set are (non)dominated. |
| wrapChildren | Wrap the individuals constructed by a recombination operator. |
