sensitivityinput are called delta1, delta2, delta3, delta4 respectively.
solve()function allows CPLEX solver.
inputData()description about d parameter.
solve()function exports solution scores.
problem()function. Now it works with recovery objectives and data non-filtered, i.e. with non-threatened features.
inputData()function for intuitiveness.
problem()function to create different mathematical models instead of
getPerformance()function incorporate information of previous four functions (removed):
getModelInfo()function incorporate information of previous three functions (removed):
getCost()function to get information about the solution costs. The
getTotalCostsfunctions are deprecated.
getConnectivity()function to get information about the solution connectivity. The
getSolutionBenefit()function to get information about the solution benefits. The
getTotalBenefitsfunctions are deprecated.
getPotentialBenefit()function to get maximum benefits to achieve given a data.
threatinput with information on different threats within the exercise.
sensitivityinput added. These parameters allow work with different sensitivities curves of threats-features. In addition to the possibility to work with non-binary threat intensities.
sensitivityis an optional input.
min_costsmodel function as
minimizeCosts()model function for consistency.
portfolio-classobjects to handle multiple solutions.
evalBlm()function to create and solve multiple models with different
evalTarget()function to create and solve multiple models with different
evalBudget()function to create and solve multiple models with different
solution-classare available as functions for the
solve(); name_output_file is the name of the main output that is exported only if the output_file parameter is TRUE, and name_log is the name of the solver log (only using gurobi solver) that is exported only if the log_file parameter is TRUE.
getSolutionUnits()functions of the
solutionobject. Now these round the values assigned to each variable to the integer nearest.
benefit()function of the
solutionobject. Now the calculation considers the amount of features and threats other than 1 and 0.
OptimizationProblemRcpp.cppfile. Now the models considers the amount of features and threats other than 1 and 0.
createtxt()function did not close the export file correctly.