/*------------------------------------------------------------------------- * * geqo_selection.c * linear selection scheme for the genetic query optimizer * * Portions Copyright (c) 1996-2020, PostgreSQL Global Development Group * Portions Copyright (c) 1994, Regents of the University of California * * src/backend/optimizer/geqo/geqo_selection.c * *------------------------------------------------------------------------- */ /* contributed by: =*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*= * Martin Utesch * Institute of Automatic Control * = = University of Mining and Technology = * utesch@aut.tu-freiberg.de * Freiberg, Germany * =*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*= */ /* this is adopted from D. Whitley's Genitor algorithm */ /*************************************************************/ /* */ /* Copyright (c) 1990 */ /* Darrell L. Whitley */ /* Computer Science Department */ /* Colorado State University */ /* */ /* Permission is hereby granted to copy all or any part of */ /* this program for free distribution. The author's name */ /* and this copyright notice must be included in any copy. */ /* */ /*************************************************************/ #include "postgres.h" #include #include "optimizer/geqo_copy.h" #include "optimizer/geqo_random.h" #include "optimizer/geqo_selection.h" static int linear_rand(PlannerInfo *root, int max, double bias); /* * geqo_selection * according to bias described by input parameters, * first and second genes are selected from the pool */ void geqo_selection(PlannerInfo *root, Chromosome *momma, Chromosome *daddy, Pool *pool, double bias) { int first, second; first = linear_rand(root, pool->size, bias); second = linear_rand(root, pool->size, bias); /* * Ensure we have selected different genes, except if pool size is only * one, when we can't. * * This code was observed to hang up in an infinite loop when the * platform's implementation of erand48() was broken. We now always use * our own version. */ if (pool->size > 1) { while (first == second) second = linear_rand(root, pool->size, bias); } geqo_copy(root, momma, &pool->data[first], pool->string_length); geqo_copy(root, daddy, &pool->data[second], pool->string_length); } /* * linear_rand * generates random integer between 0 and input max number * using input linear bias * * bias is y-intercept of linear distribution * * probability distribution function is: f(x) = bias - 2(bias - 1)x * bias = (prob of first rule) / (prob of middle rule) */ static int linear_rand(PlannerInfo *root, int pool_size, double bias) { double index; /* index between 0 and pool_size */ double max = (double) pool_size; /* * If geqo_rand() returns exactly 1.0 then we will get exactly max from * this equation, whereas we need 0 <= index < max. Also it seems * possible that roundoff error might deliver values slightly outside the * range; in particular avoid passing a value slightly less than 0 to * sqrt(). If we get a bad value just try again. */ do { double sqrtval; sqrtval = (bias * bias) - 4.0 * (bias - 1.0) * geqo_rand(root); if (sqrtval > 0.0) sqrtval = sqrt(sqrtval); index = max * (bias - sqrtval) / 2.0 / (bias - 1.0); } while (index < 0.0 || index >= max); return (int) index; }