Welcome to mirror list, hosted at ThFree Co, Russian Federation.

PopOptimization.cpp « mkcls « src « mgizapp - github.com/moses-smt/mgiza.git - Unnamed repository; edit this file 'description' to name the repository.
summaryrefslogtreecommitdiff
blob: 70c9cfb24b0562ba8b237ace0f4b3e5492004b08 (plain)
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());
}