/*------------------------------------------------------------------------ * * geqo_ox1.c * * order crossover [OX] routines; * OX1 operator according to Davis * (Proc Int'l Joint Conf on AI) * * $PostgreSQL: pgsql/src/backend/optimizer/geqo/geqo_ox1.c,v 1.10 2009/07/16 20:55:44 tgl Exp $ * *------------------------------------------------------------------------- */ /* contributed by: =*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*= * Martin Utesch * Institute of Automatic Control * = = University of Mining and Technology = * utesch@aut.tu-freiberg.de * Freiberg, Germany * =*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*= */ /* the ox algorithm is adopted from Genitor : */ /*************************************************************/ /* */ /* 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 "optimizer/geqo_random.h" #include "optimizer/geqo_recombination.h" /* ox1 * * position crossover */ void ox1(PlannerInfo *root, Gene *tour1, Gene *tour2, Gene *offspring, int num_gene, City *city_table) { int left, right, k, p, temp; /* initialize city table */ for (k = 1; k <= num_gene; k++) city_table[k].used = 0; /* select portion to copy from tour1 */ left = geqo_randint(root, num_gene - 1, 0); right = geqo_randint(root, num_gene - 1, 0); if (left > right) { temp = left; left = right; right = temp; } /* copy portion from tour1 to offspring */ for (k = left; k <= right; k++) { offspring[k] = tour1[k]; city_table[(int) tour1[k]].used = 1; } k = (right + 1) % num_gene; /* index into offspring */ p = k; /* index into tour2 */ /* copy stuff from tour2 to offspring */ while (k != left) { if (!city_table[(int) tour2[p]].used) { offspring[k] = tour2[p]; k = (k + 1) % num_gene; city_table[(int) tour2[p]].used = 1; } p = (p + 1) % num_gene; /* increment tour2-index */ } }