nsga-class: Virtual Class 'nsga'

In benitezfj/rmoo: Multi-Objective Optimization in R

Virtual Class 'nsga'

Description

The 'nsga' class is the parent superclass of the nsga1, nsga2, and nsga3 classes

Slots

call

an object of class 'call' representing the matched call.

type

a character string specifying the type of genetic algorithm used.

lower

a vector providing for each decision variable the lower bounds of the search space in case of real-valued or permutation encoded optimisations.

upper

a vector providing for each decision variable the upper bounds of the search space in case of real-valued or permutation encoded optimizations.

nBits

a value specifying the number of bits to be used in binary encoded optimizations.

names

a vector of character strings providing the names of decision variables (optional).

nvars

a

popSize

the population size.

front

Rank of individuals on the non-dominated front.

f

Front of individuals on the non-dominated front.

iter

the actual (or final) iteration of NSGA search.

run

the number of consecutive generations without any improvement in the best fitness value before the NSGA is stopped.

maxiter

the maximum number of iterations to run before the NSGA search is halted.

suggestions

a matrix of user provided solutions and included in the initial population.

population

the current (or final) population.

pcrossover

the crossover probability.

pmutation

the mutation probability.

fitness

the values of fitness function for the current (or final) population.

summary

a matrix of summary statistics for fitness values at each iteration (along the rows).

fitnessValue

the best fitness value at the final iteration.

solution

the value(s) of the decision variables giving the best fitness at the final iteration.

execution_time

a

Objects from the Class

Since it is a virtual Class, no objects may be created from it.

Examples

showClass('nsga')

benitezfj/rmoo documentation built on July 16, 2025, 11:07 p.m.