AI-Evolve-Befunge
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lib/AI/Evolve/Befunge/Population.pm view on Meta::CPAN
my $pos = 0;
for my $d (0..$v->get_dims()-1) {
$pos *= $code_size->get_component($d);
$pos += $v->get_component($d);
}
vec($code,$pos,8) = ord($self->new_code_fragment(1,$code_density));
}
$blueprint->code($code);
delete($$blueprint{cache});
}
=head2 crossover
$population->crossover($blueprint1, $blueprint2);
Swaps a random chunk of code in the first blueprint with the same
section of the second blueprint. Both blueprints are modified.
=cut
sub crossover {
my ($self, $chr1, $chr2) = @_;
my $code_size = $chr1->size;
my $base = Language::Befunge::Vector->new(
map { int(rand($code_size->get_component($_))) } (0..$self->dimensions-1));
my $size = Language::Befunge::Vector->new(
map { my $d = ($code_size->get_component($_)-1) - $base->get_component($_);
int($d/(rand($d)+1)) } (0..$self->dimensions-1));
my $end = $base + $size;
my $code1 = $chr1->code;
my $code2 = $chr2->code;
# upgrade code sizes if necessary
$code1 .= ' 'x(length($code2)-length($code1))
if(length($code1) < length($code2));
$code2 .= ' 'x(length($code1)-length($code2))
if(length($code2) < length($code1));
for(my $v = $base->copy(); defined($v); $v = $v->rasterize($base, $end)) {
my $pos = 0;
for my $d (0..$v->get_dims()-1) {
$pos *= $code_size->get_component($d);
$pos += $v->get_component($d);
}
my $tmp = vec($code2,$pos,8);
vec($code2,$pos,8) = vec($code1,$pos,8);
vec($code1,$pos,8) = $tmp;
}
$chr1->code($code1);
$chr2->code($code2);
delete($$chr1{cache});
delete($$chr2{cache});
}
=head2 crop
$population->crop($blueprint);
Possibly (1 in 10 chance) reduce the size of a blueprint. Each side
of the hypercube shall have its length reduced by 1. The preserved
section of the original code will be at a random offset (0 or 1 on each
axis).
=cut
sub crop {
my ($self, $chromosome) = @_;
return $chromosome if int(rand(10));
my $nd = $chromosome->dims;
my $old_size = $chromosome->size;
return $chromosome if $old_size->get_component(0) < 4;
my $new_base = Language::Befunge::Vector->new_zeroes($nd);
my $old_base = $new_base->copy;
my $ones = Language::Befunge::Vector->new(map { 1 } (1..$nd));
my $old_offset = Language::Befunge::Vector->new(
map { int(rand()*2) } (1..$nd));
my $new_size = $old_size - $ones;
my $old_end = $old_size - $ones;
my $new_end = $new_size - $ones;
my $length = 1;
map { $length *= ($_) } ($new_size->get_all_components);
my $new_code = '';
my $old_code = $chromosome->code();
my $vec = Language::Befunge::Storage::Generic::Vec->new($nd, Wrapping => undef);
for(my $new_v = $new_base->copy(); defined($new_v); $new_v = $new_v->rasterize($new_base, $new_end)) {
my $old_v = $new_v + $old_offset;
my $old_offset = $vec->_offset($old_v, $new_base, $old_end);
my $new_offset = $vec->_offset($new_v, $new_base, $new_end);
$new_code .= substr($old_code, $old_offset, 1);
}
return AI::Evolve::Befunge::Blueprint->new(code => $new_code, dimensions => $nd);
}
=head2 grow
$population->grow($blueprint);
Possibly (1 in 10 chance) increase the size of a blueprint. Each side
of the hypercube shall have its length increased by 1. The original
code will begin at the origin, so that the same code executes first.
=cut
sub grow {
my ($self, $chromosome) = @_;
return $chromosome if int(rand(10));
my $nd = $chromosome->dims;
my $old_size = $chromosome->size;
my $old_base = Language::Befunge::Vector->new_zeroes($nd);
my $new_base = $old_base->copy();
my $ones = Language::Befunge::Vector->new(map { 1 } (1..$nd));
my $new_size = $old_size + $ones;
my $old_end = $old_size - $ones;
my $new_end = $new_base + $new_size - $ones;
my $length = 1;
map { $length *= ($_) } ($new_size->get_all_components);
return $chromosome if $length > $self->tokens;
my $new_code = ' ' x $length;
my $old_code = $chromosome->code();
my $vec = Language::Befunge::Storage::Generic::Vec->new($nd, Wrapping => undef);
for(my $old_v = $old_base->copy(); defined($old_v); $old_v = $old_v->rasterize($old_base, $old_end)) {
my $new_v = $old_v + $new_base;
my $old_offset = $vec->_offset($old_v, $old_base, $old_end);
my $new_offset = $vec->_offset($new_v, $new_base, $new_end);
substr($new_code, $new_offset, 1) = substr($old_code, $old_offset, 1);
}
return AI::Evolve::Befunge::Blueprint->new(code => $new_code, dimensions => $nd);
}
=head2 cleanup_intermediate_savefiles
$population->cleanup_intermediate_savefiles();
Keeps the results folder mostly clean. It preserves the milestone
savefiles, and tosses the rest. For example, if the current
generation is 4123, it would preserve only the following:
savefile-1
savefile-10
savefile-100
savefile-1000
savefile-2000
savefile-3000
savefile-4000
savefile-4100
savefile-4110
savefile-4120
savefile-4121
savefile-4122
savefile-4123
This allows the savefiles to accumulate and allows access to some recent
history, and yet use much less disk space than they would otherwise.
=cut
sub cleanup_intermediate_savefiles {
my $self = shift;
my $gen = $self->generation;
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