algorithm_randomSeed : Default: 1 Seed of the random number generator
algorithm_numSamples : Default: 100 Number of repetitions, returns the last, but saves in file all of them
algorithm_outputFileNameRoot : Default: ospfWeghtOptimization_ls Root of the file name to be used in the output files. If blank, no output
localSearch_initializationType : Value to select within {random} The type of initialization of the OSPF link weights
localSearch_type : Value to select within {first-fit, best-fit} The tpe of local search algorithm. First-fit, jumps to the first improving neighbor solution found, best-fit to the best improving neighbor
localSearch_differenceInWeightToBeNeighbors : Default: 1 Two solutions where all the links have the same weight, but one link where the weight differs in the quantity given by this parameter, are considered neighbors
ospf_maxLinkWeight : Default: 16 OSPF link weights are constrained to be integers between 1 and this parameter
ospf_weightOfMaxUtilizationInObjectiveFunction : Default: 0.9 Objective function is this factor multiplied by maximum link utilization, plus 1 minus this factor by average link utilization
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