| 1 | /*------------------------------------------------------------------------ |
| 2 | * |
| 3 | * geqo_cx.c |
| 4 | * |
| 5 | * cycle crossover [CX] routines; |
| 6 | * CX operator according to Oliver et al |
| 7 | * (Proc 2nd Int'l Conf on GA's) |
| 8 | * |
| 9 | * src/backend/optimizer/geqo/geqo_cx.c |
| 10 | * |
| 11 | *------------------------------------------------------------------------- |
| 12 | */ |
| 13 | |
| 14 | /* contributed by: |
| 15 | =*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*= |
| 16 | * Martin Utesch * Institute of Automatic Control * |
| 17 | = = University of Mining and Technology = |
| 18 | * utesch@aut.tu-freiberg.de * Freiberg, Germany * |
| 19 | =*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*=*= |
| 20 | */ |
| 21 | |
| 22 | /* the cx algorithm is adopted from Genitor : */ |
| 23 | /*************************************************************/ |
| 24 | /* */ |
| 25 | /* Copyright (c) 1990 */ |
| 26 | /* Darrell L. Whitley */ |
| 27 | /* Computer Science Department */ |
| 28 | /* Colorado State University */ |
| 29 | /* */ |
| 30 | /* Permission is hereby granted to copy all or any part of */ |
| 31 | /* this program for free distribution. The author's name */ |
| 32 | /* and this copyright notice must be included in any copy. */ |
| 33 | /* */ |
| 34 | /*************************************************************/ |
| 35 | |
| 36 | |
| 37 | #include "postgres.h" |
| 38 | #include "optimizer/geqo_recombination.h" |
| 39 | #include "optimizer/geqo_random.h" |
| 40 | |
| 41 | #if defined(CX) |
| 42 | |
| 43 | /* cx |
| 44 | * |
| 45 | * cycle crossover |
| 46 | */ |
| 47 | int |
| 48 | cx(PlannerInfo *root, Gene *tour1, Gene *tour2, Gene *offspring, |
| 49 | int num_gene, City * city_table) |
| 50 | { |
| 51 | int i, |
| 52 | start_pos, |
| 53 | curr_pos; |
| 54 | int count = 0; |
| 55 | int num_diffs = 0; |
| 56 | |
| 57 | /* initialize city table */ |
| 58 | for (i = 1; i <= num_gene; i++) |
| 59 | { |
| 60 | city_table[i].used = 0; |
| 61 | city_table[tour2[i - 1]].tour2_position = i - 1; |
| 62 | city_table[tour1[i - 1]].tour1_position = i - 1; |
| 63 | } |
| 64 | |
| 65 | /* choose random cycle starting position */ |
| 66 | start_pos = geqo_randint(root, num_gene - 1, 0); |
| 67 | |
| 68 | /* child inherits first city */ |
| 69 | offspring[start_pos] = tour1[start_pos]; |
| 70 | |
| 71 | /* begin cycle with tour1 */ |
| 72 | curr_pos = start_pos; |
| 73 | city_table[(int) tour1[start_pos]].used = 1; |
| 74 | |
| 75 | count++; |
| 76 | |
| 77 | /* cx main part */ |
| 78 | |
| 79 | |
| 80 | /* STEP 1 */ |
| 81 | |
| 82 | while (tour2[curr_pos] != tour1[start_pos]) |
| 83 | { |
| 84 | city_table[(int) tour2[curr_pos]].used = 1; |
| 85 | curr_pos = city_table[(int) tour2[curr_pos]].tour1_position; |
| 86 | offspring[curr_pos] = tour1[curr_pos]; |
| 87 | count++; |
| 88 | } |
| 89 | |
| 90 | |
| 91 | /* STEP 2 */ |
| 92 | |
| 93 | /* failed to create a complete tour */ |
| 94 | if (count < num_gene) |
| 95 | { |
| 96 | for (i = 1; i <= num_gene; i++) |
| 97 | { |
| 98 | if (!city_table[i].used) |
| 99 | { |
| 100 | offspring[city_table[i].tour2_position] = |
| 101 | tour2[(int) city_table[i].tour2_position]; |
| 102 | count++; |
| 103 | } |
| 104 | } |
| 105 | } |
| 106 | |
| 107 | |
| 108 | /* STEP 3 */ |
| 109 | |
| 110 | /* still failed to create a complete tour */ |
| 111 | if (count < num_gene) |
| 112 | { |
| 113 | |
| 114 | /* count the number of differences between mom and offspring */ |
| 115 | for (i = 0; i < num_gene; i++) |
| 116 | if (tour1[i] != offspring[i]) |
| 117 | num_diffs++; |
| 118 | |
| 119 | } |
| 120 | |
| 121 | return num_diffs; |
| 122 | } |
| 123 | |
| 124 | #endif /* defined(CX) */ |
| 125 | |