COSC_4P82_Assignment_1/lib/lilgp/app/regression/app.c

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/* lil-gp Genetic Programming System, version 1.0, 11 July 1995
* Copyright (C) 1995 Michigan State University
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of version 2 of the GNU General Public License as
* published by the Free Software Foundation.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA.
*
* Douglas Zongker (zongker@isl.cps.msu.edu)
* Dr. Bill Punch (punch@isl.cps.msu.edu)
*
* Computer Science Department
* A-714 Wells Hall
* Michigan State University
* East Lansing, Michigan 48824
* USA
*
*/
#include <stdio.h>
#include <math.h>
#include <lilgp.h>
globaldata g;
static int fitness_cases = -1;
static double *app_fitness_cases[2];
static double value_cutoff;
int app_build_function_sets ( void )
{
function_set fset;
user_treeinfo tree_map;
function sets[] =
{ { f_multiply, NULL, NULL, 2, "*", FUNC_DATA, -1, 0, 0, {0, 0} },
{ f_protdivide, NULL, NULL, 2, "/", FUNC_DATA, -1, 0, 0, {0, 0} },
{ f_add, NULL, NULL, 2, "+", FUNC_DATA, -1, 0, 0, {0, 0} },
{ f_subtract, NULL, NULL, 2, "-", FUNC_DATA, -1, 0, 0, {0, 0} },
{ f_sin, NULL, NULL, 1, "sin", FUNC_DATA, -1, 0, 0, {0, 0} },
{ f_cos, NULL, NULL, 1, "cos", FUNC_DATA, -1, 0, 0, {0, 0} },
{ f_exp, NULL, NULL, 1, "exp", FUNC_DATA, -1, 0, 0, {0, 0} },
{ f_rlog, NULL, NULL, 1, "rlog", FUNC_DATA, -1, 0, 0, {0, 0} },
{ f_indepvar, NULL, NULL, 0, "X", TERM_NORM, -1, 0, 0, {0, 0} },
{ NULL, f_erc_gen, f_erc_print, 0, "R", TERM_ERC, -1, 0, 0, {0, 0} } };
binary_parameter ( "app.use_ercs", 1 );
if ( atoi ( get_parameter ( "app.use_ercs" ) ) )
fset.size = 10;
else
fset.size = 9;
fset.cset = sets;
tree_map.fset = 0;
tree_map.return_type=0;
tree_map.name = "TREE";
return function_sets_init ( &fset, 1, &tree_map, 1 );
}
void app_eval_fitness ( individual *ind )
{
int i;
double v, dv;
double disp;
globaldata *g = get_globaldata();
set_current_individual ( ind );
ind->r_fitness = 0.0;
ind->hits = 0;
for ( i = 0; i < fitness_cases; ++i )
{
g->x = app_fitness_cases[0][i];
v = evaluate_tree ( ind->tr[0].data, 0 );
dv = app_fitness_cases[1][i];
disp = fabs ( dv-v );
if ( disp < value_cutoff )
{
ind->r_fitness += disp;
if ( disp <= 0.01 )
++ind->hits;
}
else
{
ind->r_fitness += value_cutoff;
}
}
ind->s_fitness = ind->r_fitness;
ind->a_fitness = 1/(1+ind->s_fitness);
ind->evald = EVAL_CACHE_VALID;
}
int app_end_of_evaluation ( int gen, multipop *mpop, int newbest,
popstats *gen_stats, popstats *run_stats )
{
int i;
double v;
globaldata *g = get_globaldata();
if ( newbest )
{
output_stream_open ( OUT_USER );
for ( i = -100; i <= 100; ++i )
{
g->x = (double)i*.01;
v = evaluate_tree ( run_stats[0].best[0]->ind->tr[0].data, 0 );
oprintf ( OUT_USER, 50, "%lf %lf\n", g->x, v );
}
output_stream_close ( OUT_USER );
if ( run_stats[0].best[0]->ind->hits == fitness_cases )
return 1;
}
return 0;
}
void app_end_of_breeding ( int gen, multipop *mpop )
{
return;
}
int app_create_output_streams ( void )
{
if ( create_output_stream ( OUT_USER, ".fn", 1, "w", 0 ) !=
OUTPUT_OK )
return 1;
return 0;
}
int app_initialize ( int startfromcheckpoint )
{
int i;
double x, y;
char *param;
globaldata *g = get_globaldata();
if ( !startfromcheckpoint )
{
oprintf ( OUT_PRG, 50, "not starting from checkpoint file.\n" );
param = get_parameter ( "app.fitness_cases" );
if ( param == NULL )
fitness_cases = 200;
else
{
fitness_cases = atoi ( param );
if ( fitness_cases < 0 )
error ( E_FATAL_ERROR, "invalid value for \"app.fitness_cases\"." );
}
app_fitness_cases[0] = (double *)MALLOC ( fitness_cases *
sizeof ( double ) );
app_fitness_cases[1] = (double *)MALLOC ( fitness_cases *
sizeof ( double ) );
oprintf ( OUT_PRG, 50, "%d fitness cases:\n", fitness_cases );
for ( i = 0; i < fitness_cases; ++i )
{
x = (random_double(&globrand)*2.0)-1.0;
/* change this line to modify the goal function. */
y = x*x*x*x + x*x*x + x*x + x;
/* y = x*x; */
app_fitness_cases[0][i] = x;
app_fitness_cases[1][i] = y;
oprintf ( OUT_PRG, 50,
" x = %12.5lf, y = %12.5lf\n", x, y );
}
}
else
{
oprintf ( OUT_PRG, 50, "started from checkpoint file.\n" );
}
param = get_parameter ( "app.value_cutoff" );
if ( param == NULL )
value_cutoff = 1.e15;
else
value_cutoff = strtod ( param, NULL );
return 0;
}
void app_uninitialize ( void )
{
FREE ( app_fitness_cases[0] );
FREE ( app_fitness_cases[1] );
}
void app_write_checkpoint ( FILE *f )
{
int i;
fprintf ( f, "fitness-cases: %d\n", fitness_cases );
for ( i = 0; i < fitness_cases; ++i )
{
write_hex_block ( app_fitness_cases[0]+i, sizeof(double), f );
fputc ( ' ', f );
write_hex_block ( app_fitness_cases[1]+i, sizeof(double), f );
fprintf ( f, " %.5lf %.5lf\n",
app_fitness_cases[0][i], app_fitness_cases[1][i] );
}
}
void app_read_checkpoint ( FILE *f )
{
int i;
fscanf ( f, "%*s %d\n", &fitness_cases );
app_fitness_cases[0] = (double *)MALLOC ( fitness_cases *
sizeof ( double ) );
app_fitness_cases[1] = (double *)MALLOC ( fitness_cases *
sizeof ( double ) );
for ( i = 0; i < fitness_cases; ++i )
{
read_hex_block ( app_fitness_cases[0]+i, sizeof ( double ), f );
fgetc ( f );
read_hex_block ( app_fitness_cases[1]+i, sizeof ( double ), f );
fscanf ( f, " %*f %*f\n" );
fprintf ( stderr, "%.5lf %.5lf\n", app_fitness_cases[0][i],
app_fitness_cases[1][i] );
}
}