Documentation of mutreal

Global Index (all files) (short | long) | Local contents | Local Index (files in subdir) (short | long)

Function Synopsis

NewChrom = mutreal(Chrom, VLUB, MutOpt);

Help text

 real value Mutation like Discrete Breeder genetic algorithm

 This function takes a matrix Chrom containing the real
 representation of the individuals in the current population,
 mutates the individuals with probability MutR and returns
 the resulting population.

 This function implements the mutation operator of the Breeder
 Genetic Algorithm. (Muehlenbein et. al.)

 Syntax:  NewChrom = mutreal(OldChrom, VLUB, MutOpt)

 Input parameter:
    Chrom     - Matrix containing the chromosomes of the old
                population. Each row corresponds to one individual.
    VLUB      - Matrix describing the boundaries of each variable.
    MutOpt    - (optional) Vector containing mutation options
                MutOpt(1): MutRate - number containing the mutation rate -
                           probability for mutation of a variable
                           if omitted or NaN, MutRate = 1/variables per individual
                           is assumed
                MutOpt(2): MutRange - (optional) number for shrinking the
                           mutation range in the range [0 1], possibility to
                           shrink the range of the mutation depending on,
                           for instance actual generation.
                           if omitted or NaN, MutRange = 1 is assumed
                MutOpt(3): MutPreci - (optional) precision of mutation steps
                           if omitted or NaN, MutPreci = 16 is assumed

 Output parameter:
    NewChrom  - Matrix containing the chromosomes of the population
                after mutation in the same format as OldChrom.

 See also: mutate, mutbin, mutint

Cross-Reference Information

This function is called by
GEATbx: Main page  Tutorial  Algorithms  M-functions  Parameter/Options  Example functions 

This document is part of version 3.8 of the GEATbx: Genetic and Evolutionary Algorithm Toolbox for use with Matlab -
The Genetic and Evolutionary Algorithm Toolbox is not public domain.
© 1994-2006 Hartmut Pohlheim, All Rights Reserved, (