boundedPolyMutation: Bounded Polynomial Mutation Operator

In nsga2R: Elitist Non-Dominated Sorting Genetic Algorithm

Bounded Polynomial Mutation Operator

Description

The bounded polynomial mutation operator is a real-parameter genetic operator. Like in the simulated binary crossover operator, the probability distribution is also a polynomial function instead of a normal distribution.

Usage

boundedPolyMutation(parent_chromosome, lowerBounds, upperBounds, mprob, mum)

Arguments

parent_chromosome	Mating pool with decision variables
lowerBounds	Lower bounds of each decision variable
upperBounds	Upper bounds of each decision variable
mprob	Mutation probability
mum	Mutation distribution index, it can be any nonnegative real number

Value

Return the offspring population with decision variables

Author(s)

Ching-Shih (Vince) Tsou [e-mail]

References

Deb, K., Pratap, A., Agarwal, S., and Meyarivan, T. (2002), " A fast and elitist multiobjective genetic algorithm: NSGA-II", IEEE Transactions on Evolutionary Computation, 6(2), 182-197.

Examples

set.seed(1234)
lowerBounds <- rep(0,30)
upperBounds <- rep(1,30)
mprob <- 0.2
MutDistIdx <- 20
matingPool <- matrix(runif(1200, 0, 1), nrow=40, ncol=30)
childAfterM <- boundedPolyMutation(matingPool,lowerBounds,upperBounds,mprob,MutDistIdx)
childAfterM

nsga2R documentation built on May 23, 2022, 5:06 p.m.