GeneticProgramming/Population.cpp at main · MichalicekPetr/GeneticProgramming · GitHub

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
#include <iostream>

#include "HelperFunc.h"
#include "Population.h"
#include "Individual.h"
#include <vector>

using namespace std;


vector<Individual> RandomHalfFullHalfGrowInitialization::initPopulation(const int& depth, const FunctionSet& funcSet, const TerminalSet& termSet, const int & populationSize)
{
	bool fullTree = false;
	vector<Individual> individuals(0);

	for (int i = 0; i < populationSize; i++) {
		if (fullTree) {
			individuals.push_back(move(Individual::generateRandomTreeFullMethod(depth, funcSet, termSet)));
		}
		else {
			individuals.push_back(move(Individual::generateRandomTreeGrowMethod(depth, funcSet, termSet)));
		}
		fullTree = !fullTree;
	}

	return individuals;
}

Population::Population() : Population(0, unique_ptr<PopulationInitMethod>(nullptr))
{
}

Population::Population(const int& size, unique_ptr<PopulationInitMethod> populationInitMethod)
{
	this->size = size;
	this->populationInitMethod = move(populationInitMethod);
	this->individuals = vector<Individual>(0);
}

void Population::initPopulation(const int & depth, FunctionSet funcSet, TerminalSet termSet)
{
	this->individuals = this->populationInitMethod->initPopulation(depth, funcSet, termSet, this->size);
}

void Population::setPopulation(vector<Individual> newPopulation)
{
	this->individuals = move(newPopulation);
}

int Population::getSize() const
{
	return this->size;
}

Individual & Population::at(const int & idx)
{
	return this->individuals.at(idx);
}

vector<Individual> PCT2Initialization::initPopulation(const int& depth, const FunctionSet& funcSet, const TerminalSet& termSet, const int& populationSize)
{
	vector<Individual> individuals(0);

	map<string, double> pmap = {{"+", 0.3}, {"*", 0.3}, {"-", 0.1}, {"%", 0.05}, {"neg", 0.2}, {"inv", 0.05} };
	vector<double> sizeDistribution = HelperFunc::generateNormalSizeDistribution(pow(2, depth - 1));

	for (int i = 0; i < populationSize; i++) {
		individuals.push_back(move(Individual::generateRandomTreePCT2(depth, sizeDistribution, funcSet, termSet, pmap)));
	}

	return individuals;
}