Line data Source code
1 : /*-------------------------------------------------------------------------
2 : *
3 : * geqo_selection.c
4 : * linear selection scheme for the genetic query optimizer
5 : *
6 : * Portions Copyright (c) 1996-2017, PostgreSQL Global Development Group
7 : * Portions Copyright (c) 1994, Regents of the University of California
8 : *
9 : * src/backend/optimizer/geqo/geqo_selection.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 : /* this is adopted from D. Whitley's Genitor algorithm */
23 :
24 : /*************************************************************/
25 : /* */
26 : /* Copyright (c) 1990 */
27 : /* Darrell L. Whitley */
28 : /* Computer Science Department */
29 : /* Colorado State University */
30 : /* */
31 : /* Permission is hereby granted to copy all or any part of */
32 : /* this program for free distribution. The author's name */
33 : /* and this copyright notice must be included in any copy. */
34 : /* */
35 : /*************************************************************/
36 :
37 : #include "postgres.h"
38 :
39 : #include <math.h>
40 :
41 : #include "optimizer/geqo_copy.h"
42 : #include "optimizer/geqo_random.h"
43 : #include "optimizer/geqo_selection.h"
44 :
45 : static int linear_rand(PlannerInfo *root, int max, double bias);
46 :
47 :
48 : /*
49 : * geqo_selection
50 : * according to bias described by input parameters,
51 : * first and second genes are selected from the pool
52 : */
53 : void
54 64 : geqo_selection(PlannerInfo *root, Chromosome *momma, Chromosome *daddy,
55 : Pool *pool, double bias)
56 : {
57 : int first,
58 : second;
59 :
60 64 : first = linear_rand(root, pool->size, bias);
61 64 : second = linear_rand(root, pool->size, bias);
62 :
63 : /*
64 : * Ensure we have selected different genes, except if pool size is only
65 : * one, when we can't.
66 : *
67 : * This code was observed to hang up in an infinite loop when the
68 : * platform's implementation of erand48() was broken. We now always use
69 : * our own version.
70 : */
71 64 : if (pool->size > 1)
72 : {
73 128 : while (first == second)
74 0 : second = linear_rand(root, pool->size, bias);
75 : }
76 :
77 64 : geqo_copy(root, momma, &pool->data[first], pool->string_length);
78 64 : geqo_copy(root, daddy, &pool->data[second], pool->string_length);
79 64 : }
80 :
81 : /*
82 : * linear_rand
83 : * generates random integer between 0 and input max number
84 : * using input linear bias
85 : *
86 : * bias is y-intercept of linear distribution
87 : *
88 : * probability distribution function is: f(x) = bias - 2(bias - 1)x
89 : * bias = (prob of first rule) / (prob of middle rule)
90 : */
91 : static int
92 128 : linear_rand(PlannerInfo *root, int pool_size, double bias)
93 : {
94 : double index; /* index between 0 and pop_size */
95 128 : double max = (double) pool_size;
96 :
97 : /*
98 : * If geqo_rand() returns exactly 1.0 then we will get exactly max from
99 : * this equation, whereas we need 0 <= index < max. Also it seems
100 : * possible that roundoff error might deliver values slightly outside the
101 : * range; in particular avoid passing a value slightly less than 0 to
102 : * sqrt(). If we get a bad value just try again.
103 : */
104 : do
105 : {
106 : double sqrtval;
107 :
108 128 : sqrtval = (bias * bias) - 4.0 * (bias - 1.0) * geqo_rand(root);
109 128 : if (sqrtval > 0.0)
110 128 : sqrtval = sqrt(sqrtval);
111 128 : index = max * (bias - sqrtval) / 2.0 / (bias - 1.0);
112 128 : } while (index < 0.0 || index >= max);
113 :
114 128 : return (int) index;
115 : }
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