/* 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. */ /* */ /*************************************************************/
/* cx * *cyclecrossover
*/ 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;
/* 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) */
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