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+/*------------------------------------------------------------------------
+*
+* geqo_cx.c
+*
+* cycle crossover [CX] routines;
+* CX operator according to Oliver et al
+* (Proc 2nd Int'l Conf on GA's)
+*
+* src/backend/optimizer/geqo/geqo_cx.c
+*
+*-------------------------------------------------------------------------
+*/
+
+/* contributed by:
+ =*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=
+ * Martin Utesch * Institute of Automatic Control *
+ = = University of Mining and Technology =
+ * utesch@aut.tu-freiberg.de * Freiberg, Germany *
+ =*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=
+ */
+
+/* the cx 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"
+
+#if defined(CX)
+
+/* cx
+ *
+ * cycle crossover
+ */
+int
+cx(PlannerInfo *root, Gene *tour1, Gene *tour2, Gene *offspring,
+ int num_gene, City * city_table)
+{
+ int i,
+ start_pos,
+ curr_pos;
+ int count = 0;
+ int num_diffs = 0;
+
+ /* initialize city table */
+ for (i = 1; i <= num_gene; i++)
+ {
+ city_table[i].used = 0;
+ city_table[tour2[i - 1]].tour2_position = i - 1;
+ city_table[tour1[i - 1]].tour1_position = i - 1;
+ }
+
+ /* choose random cycle starting position */
+ start_pos = geqo_randint(root, num_gene - 1, 0);
+
+ /* child inherits first city */
+ offspring[start_pos] = tour1[start_pos];
+
+ /* begin cycle with tour1 */
+ curr_pos = start_pos;
+ city_table[(int) tour1[start_pos]].used = 1;
+
+ count++;
+
+ /* cx main part */
+
+
+/* STEP 1 */
+
+ while (tour2[curr_pos] != tour1[start_pos])
+ {
+ city_table[(int) tour2[curr_pos]].used = 1;
+ curr_pos = city_table[(int) tour2[curr_pos]].tour1_position;
+ offspring[curr_pos] = tour1[curr_pos];
+ count++;
+ }
+
+
+/* STEP 2 */
+
+ /* failed to create a complete tour */
+ if (count < num_gene)
+ {
+ for (i = 1; i <= num_gene; i++)
+ {
+ if (!city_table[i].used)
+ {
+ offspring[city_table[i].tour2_position] =
+ tour2[(int) city_table[i].tour2_position];
+ count++;
+ }
+ }
+ }
+
+
+/* STEP 3 */
+
+ /* still failed to create a complete tour */
+ if (count < num_gene)
+ {
+
+ /* count the number of differences between mom and offspring */
+ for (i = 0; i < num_gene; i++)
+ if (tour1[i] != offspring[i])
+ num_diffs++;
+ }
+
+ return num_diffs;
+}
+
+#endif /* defined(CX) */