Algorithm::Evolutionary::Utils - Container module with a hodgepodge of functions
use Algorithm::Evolutionary::Utils qw(entropy genotypic_entropy hamming consensus average random_bitstring random_number_array decode_string vector_compare );
my $this_entropy = entropy( $population );
#Computes consensus sequence (for binary chromosomes
my $this_consensus = consensus( $population);
Miscellaneous class that contains functions that might be useful
somewhere else, especially when computing EA statistics.
Computes the entropy using the well known Shannon's formula:
<http://en.wikipedia.org/wiki/Information_entropy> 'to avoid botching
highlighting
Computes the entropy using the well known Shannon's formula:
<http://en.wikipedia.org/wiki/Information_entropy> 'to avoid botching
highlighting; in this case we use chromosome frequencies instead of fitness.
Computes the number of positions that are different among two strings, the well
known Hamming distance.
Consensus sequence representing the majoritary value for each bit; returns the
consensus binary string. If "rough", then the bit is set only if the
difference is bigger than 0.4 (60/40 proportion).
Computes an average of population fitness
Returns a random bitstring with the stated number of bits. Useful for
testing,mainly
Returns a random number array with the stated length. Useful for testing,
mainly.
Parses the string and returns an XML tree
Decodes to a vector, each one of whose components ranges between
$min and $max. Returns that
vector.
It does not work for $gene_size too big.
Certainly not for 64, maybe for 32.
Compares vectors, returns 1 if 1 dominates 2, -1 if it's the other way round,
and 0 if neither dominates the other. Both vectors are supposed to be numeric.
Returns "undef" if neither is bigger, and
they are not equal. Fails if the length is not the same.
This file is released under the GPL. See the LICENSE file included in this distribution,
or go to http://www.fsf.org/licenses/gpl.txt