initnorm: Normal distribution based initialization

In adana: Adaptive Nature-Inspired Algorithms for Hybrid Genetic Optimization

Normal distribution based initialization

Description

The pmean and psd arguments of this function represent the mean and standard deviation of a normally distributed population, respectively. Using these parameters, the function generates a random initial population with n individuals and m variables.~

Usage

initnorm(n, m, pmean, psd, type, ...)

Arguments

n	Population size
m	Chromosome length (number of variables)
pmean	Mean of normal distribution
psd	Standard deviation of normal distribution
type	Type of output matrix
...	Further arguments passed to or from other methods.

Value

The output matrix includes only chromosomes of initial population when type=2, otherwise The output matrix includes chromosomes of initial population and additional two empty columns for generation number and fitness values.

Author(s)

Zeynel Cebeci & Erkut Tekeli

See Also

initbin, initval, initperm, initialize

Examples

initpop = initialize(initfunc=initnorm, n=20, m=5, 
  pmean=50, psd=5, type=2) 
head(initpop,3)

adana documentation built on March 18, 2022, 6:03 p.m.