Documentation of mutrand
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Function Synopsis
NewChrom = mutrand(Chrom, VLUB, MutRate, VarFormat)
Help text
MUTation RANDom
This function takes the current population and produces
the same number of randomly initialized individuals.
The resulting (random) individuals are returned.
Syntax: NewChrom = mutrand(Chrom, VLUB, MutRate, VarFormat)
Input parameters:
Chrom - A matrix containing the chromosomes of the
current population. Each row corresponds to
an individuals.
Only the number and size of individuals is used.
VLUB - Matrix containing the boundaries of each variable.
Used here for thge initialization boundaries.
MutRate - Scalar containing the mutation rate / probability.
if omitted or NaN MutRate = 0.7/size(Chrom,2) is
assumed.
Not used here!
VarFormat - Format of variables (real, integer, binary, permutation)
(See description of GEATbx parameter Variable Format)
Output parameter:
NewChrom - Matrix containing the new (random) individuals.
See also: mutate, mutreal, mutint, mutreal, initrp, initip, initbp, initpp
Cross-Reference Information
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Listing of function mutrand
% Author: Hartmut Pohlheim
% History: 14.06.99 file created
function NewChrom = mutrand(Chrom, VLUB, MutRate, VarFormat)
% get population size (Nind) and chromosome length (VarLength)
[Nind, VarLength] = size(Chrom);
% Check input parameters
if nargin < 3, MutRate = []; end, if isnan(MutRate), MutRate = []; end, if isempty(MutRate), MutRate = 0.7/VarLength; end
MutRate = MutRate(1);
if nargin < 4, VarFormat = []; end, if isnan(VarFormat), VarFormat = []; end, if isempty(VarFormat), VarFormat = 0; end
% Perform random initialization individuals
switch VarFormat,
% Real valued population
case 0, NewChrom = initrp(Nind, VLUB);
% Integer valued population
case 2, NewChrom = initip(Nind, VLUB);
% Permutation population
case 5, NewChrom = initpp(Nind, VarLength);
% Decode variables into binary, [1, 3 or 4]
otherwise, NewChrom = initbp(Nind, VarLength);
end
% End of function
This document is part of
version 3.7 of the
GEATbx: Genetic and Evolutionary Algorithm Toolbox for use with Matlab -
www.geatbx.com.
The Genetic and Evolutionary Algorithm Toolbox is
not public domain.
© 1994-2005 Hartmut Pohlheim, All Rights Reserved,
(support@geatbx.com).