1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
|
/*
Copyright (C) 1997,1998,1999,2000,2001 Franz Josef Och
mkcls - a program for making word classes .
This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 2
of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307,
USA.
*/
#include "PopOptimization.h"
#include "ProblemTest.h"
int compareProbAndOpt(const void *p,const void *j)
{
double a=((ProbAndOpt *)p)->prob->value();
double b=((ProbAndOpt *)j)->prob->value();
if(a==b)
return 0;
if(a<b)
return -1;
else
return +1;
}
bool operator<(const ProbAndOpt&a, const ProbAndOpt&b)
{
return a.prob->value()<b.prob->value();
}
bool operator==(const ProbAndOpt&a, const ProbAndOpt&b)
{
return a.prob->value()==b.prob->value();
}
ostream& operator<<(ostream&o , const ProbAndOpt&)
{
return o;
}
istream& operator>>(istream&i , ProbAndOpt&)
{
return i;
}
PopOptimization::PopOptimization(Problem &p,int verf,int anz)
: probandopt(anz),initialisiert(0),verfahren(verf)
{
originalProblem = &p;
}
int PopOptimization::size()
{
return probandopt.size();
}
Problem *PopOptimization::problem(int i)
{
assert(initialisiert);
return probandopt[i].prob;
}
Optimization *PopOptimization::optimization(int i)
{
assert(initialisiert);
return probandopt[i].opt;
}
void PopOptimization::zInitialize()
{
int i;
zufallSeed();
for(i=0; i<size(); i++) {
probandopt[i].prob=originalProblem->makeEqualProblem();
probandopt[i].prob->initialize();
}
zufallSeed();
for(i=0; i<size(); i++)
probandopt[i].opt=(Optimization *)genIterOptimizer(verfahren,
*(probandopt[i].prob),-1);
initialisiert=1;
}
void PopOptimization::sort()
{
assert(initialisiert);
probandopt.sort(size());
}
|