The 'nsga' class is the parent superclass of the nsga1, nsga2, and nsga3 classes
an object of class 'call' representing the matched call.
a character string specifying the type of genetic algorithm used.
a vector providing for each decision variable the lower bounds of the search space in case of real-valued or permutation encoded optimisations.
a vector providing for each decision variable the upper bounds of the search space in case of real-valued or permutation encoded optimizations.
a value specifying the number of bits to be used in binary encoded optimizations.
a vector of character strings providing the names of decision variables (optional).
the population size.
Rank of individuals on the non-dominated front.
Front of individuals on the non-dominated front.
the actual (or final) iteration of NSGA search.
the number of consecutive generations without any improvement in the best fitness value before the NSGA is stopped.
the maximum number of iterations to run before the NSGA search is halted.
a matrix of user provided solutions and included in the initial population.
the current (or final) population.
the crossover probability.
the mutation probability.
the values of fitness function for the current (or final) population.
a matrix of summary statistics for fitness values at each iteration (along the rows).
the best fitness value at the final iteration.
the value(s) of the decision variables giving the best fitness at the final iteration.
Since it is a virtual Class, no objects may be created from it.
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