/* 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 /* * adapted from the RAN3 routine (in Fortran - ugh) in "Numerical Recipes: * The Art of Scientific Computing", page 199. They adapted it from * (surprise) Knuth, Seminumerical Algorithms. */ static double mbig = 10000000.0; /* this can be changed to any "big" number. */ static double mseed = 1618033.0; /* this can be changed to any smaller but still "big" number. */ static double mz = 0.0; static double ma[55]; /* the number 55 is special -- see Knuth. */ static int inext, inextp; /* random_seed() * * seeds the random number generator using the given int. */ void random_seed ( long seed ) { int i, i1, k; double mj, mk; mj = mseed - seed; mj = mj-((int)(mj/mbig)*mbig); ma[54] = mj; mk = 1; for ( i = 1; i < 55; ++i ) { i1 = ((21*i) % 55)-1; ma[i1] = mk; mk = mj - mk; if ( mk < mz ) mk += mbig; mj = ma[i1]; } for ( k = 0; k < 4; ++k ) for ( i = 0; i < 55; ++i ) { ma[i] = ma[i] - ma[(i+30)%55]; if ( ma[i] < mz ) ma[i] += mbig; } inext = 0; inextp = 31; /* the number 31 is special -- see Knuth. */ } /* random_int() * * returns an integer randomly selected from the uniform distribution * over the interval [0,max). */ int random_int ( int max ) { double v = random_double(); return (int)(v*(double)max); } /* random_double() * * returns a double randomly selected from the uniform distribution * over the interval [0,1). */ double random_double ( void ) { double mj; inext = (inext+1)%55; inextp = (inextp+1)%55; mj = ma[inext] - ma[inextp]; if ( mj < mz ) mj = mj + mbig; ma[inext] = mj; return mj/mbig; } /* random_get_state() * * allocates a memory block, saves the state of the random number * generator in it, and returns the address. puts the number of * bytes in the block into *size. */ void *random_get_state ( int *size ) { unsigned char *buffer; double *db; int i; *size = sizeof(double)*58+2*sizeof(int); buffer = (unsigned char *)MALLOC ( *size ); db = (double *)buffer; db[0] = mbig; db[1] = mseed; db[2] = mz; for ( i = 0; i < 55; ++i ) db[i+3] = ma[i]; ((int *)(buffer+58*sizeof(double)))[0] = inext; ((int *)(buffer+58*sizeof(double)))[1] = inextp; #ifdef DEBUG fprintf ( stderr, "writing random state: %lf, %lf, %lf, %d, %d\n", mbig, mseed, mz, inext, inextp ); #endif return buffer; } /* random_set_state() * * restores the random number generator state using a block of * data previously returned by random_get_state(). */ void random_set_state ( void *buffer ) { unsigned char *cb; double *db; int i; cb = (unsigned char *)buffer; db = (double *)buffer; mbig = db[0]; mseed = db[1]; mz = db[2]; for ( i = 0; i < 55; ++i ) ma[i] = db[i+3]; inext = ((int *)(cb+58*sizeof(double)))[0]; inextp = ((int *)(cb+58*sizeof(double)))[1]; #ifdef DEBUG fprintf ( stderr, "reading random state: %lf, %lf, %lf, %d, %d\n", mbig, mseed, mz, inext, inextp ); #endif }