Automatic Calibration by Evolutionary Multi Objective Algorithm

Documentation for package ‘caRamel’ version 1.4

caRamel-package	caRamel optimizer
boxes	Box numbering for each points individual of the population
caRamel	MAIN FUNCTION: multi-objective optimizer
Cextrap	Extrapolation along orthogonal directions to the Pareto front in the space of the objectives
Cinterp	Interpolation in simplexes of the objective space
Crecombination	Recombination of the sets of parameters
Cusecovar	New parameter vectors generation respecting a covariance structure
decrease_pop	Decreasing of the population of parameters sets
Dimprove	Determination of directions for improvement
dominate	Successive Pareto fronts of a population
dominated	Rows domination of a matrix by a vector
downsize	Downsizing of a population to only one individual per box up to a given accuracy
matvcov	Calculation of the variances-covariances matrix on the reference population
newXval	Generation of a new population of parameter sets following the five rules of caRamel
pareto	Indicates which rows are Pareto
plot_caramel	Plotting of caRamel results
plot_pareto	Plotting of a population of objectives and Pareto front
plot_population	Plotting of a population of objectives
rselect	Selection of n points
val2rank	Converting the values of a vector into their rank
vol_splx	Volume of a simplex