-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathCIndividual.cpp
More file actions
119 lines (87 loc) · 2.08 KB
/
CIndividual.cpp
File metadata and controls
119 lines (87 loc) · 2.08 KB
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
111
112
113
114
115
116
117
118
119
#include "CIndividual.h"
std::random_device CIndividual::rd;
std::mt19937 CIndividual::gen(CIndividual::rd());
std::uniform_int_distribution<> CIndividual::disTF(0,1);
std::uniform_int_distribution<> CIndividual::disRand(0);
CIndividual::CIndividual()
{
_fitnessLevel = 0;
}
CIndividual::CIndividual(int genotypeLength)
{
_genotype.resize(genotypeLength);
_fitnessLevel = 0;
for (int i = 0; i < genotypeLength; i++)
{
_genotype[i] = disTF(gen);
}
}
CIndividual::CIndividual(CIndividual* parent1, CIndividual* parent2, int cutIndex)
{
_genotype.resize(parent1->_genotype.size());
_fitnessLevel = 0;
for (int i = 0; i < _genotype.size(); i++)
{
if (i<=cutIndex)
{
_genotype[i] = parent1->_genotype[i];
}
else
{
_genotype[i] = parent2->_genotype[i];
}
}
}
CIndividual::CIndividual(CIndividual* other)
{
_genotype.resize(other->_genotype.size());
_fitnessLevel = 0;
for (int i = 0; i < _genotype.size(); i++)
{
_genotype[i] = other->_genotype[i];
}
}
void CIndividual::calculateFitness(GAProblem* problem)
{
_fitnessLevel = problem->calculateQuality(_genotype);
}
void CIndividual::printGenotype()
{
for (int i = 0; i < _genotype.size(); i++)
{
std::cout << _genotype[i];
}
std::cout << std::endl;
}
void CIndividual::mutate(double* mutationProbability)
{
double randomChance;
for (int i = 0; i < _genotype.size(); i++)
{
randomChance = (1.0) / (double)((disRand(gen)) % 1000);
if ( randomChance <= *mutationProbability)
{
_genotype[i] = !_genotype[i];
}
}
}
std::pair<CIndividual*,CIndividual*> CIndividual::crossOver(CIndividual* other)
{
int cutIndex;
cutIndex = disRand(gen) % _genotype.size();
CIndividual* childVariantA = new CIndividual(this, other, cutIndex);
CIndividual* childVariantB = new CIndividual(other, this, cutIndex);
return std::make_pair(childVariantA, childVariantB);
}
int CIndividual::getGenotypeSize()
{
return (int)_genotype.size();
}
std::vector<bool> CIndividual::getGenotype()
{
return _genotype;
}
bool CIndividual::operator>=(CIndividual* other)
{
return _fitnessLevel >= other->_fitnessLevel;
}