forked from zakar/TowerDefenseAI
-
Notifications
You must be signed in to change notification settings - Fork 0
/
GA_BuildTower.cpp
179 lines (153 loc) · 4.16 KB
/
GA_BuildTower.cpp
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
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
#include "GA_BuildTower.h"
#include <assert.h>
GA_BuildTower& GA_BuildTower::Instance()
{
static GA_BuildTower ins;
return ins;
}
void GA_BuildTower::Init(const vector<Vec2>& cand_grid,
const vector<int>& level,
const vector<int>& type)
{
populations.clear();
GenoType species;
for (int i = 0; i < pop_size; ++i) {
species.fitness = 0;
species.rfitness = 0;
species.cfitness = 0;
species.gene.clear();
for (int j = 0; j < gene_cnt; ++j) species.gene.push_back(Tower(level[j], type[j],
cand_grid[j].x, cand_grid[j].y));
populations.push_back(species);
}
CalFitness();
double best_fitness = 0;
for (int i = 0; i < pop_size; ++i)
if (populations[i].fitness > best_fitness) {
best_fitness = populations[i].fitness;
best = populations[i];
}
}
void GA_BuildTower::CalFitness()
{
for (int i = 0; i < pop_size; ++i) {
MatchChecker::Instance().Init(enemy, populations[i].gene, 1);
MatchChecker::Instance().Run();
const vector<MatchChecker::EnemyInfo>& enemy_info = MatchChecker::Instance().GetEnemyInfo();
double orig_sum = 0, positive_sum = 0, negative_sum = 0;
int e_size = enemy_info.size();
for (int j = 0; j < e_size; ++j) {
orig_sum += enemy_info[j].info.life;
if (enemy_info[j].remain_life > 0)
positive_sum += enemy_info[j].remain_life;
else
negative_sum += enemy_info[i].remain_life;
populations[i].fitness = orig_sum - positive_sum - fabs(negative_sum)/e_size;
if (populations[i].fitness < 1) populations[i].fitness = 1;
}
}
}
void GA_BuildTower::Elitist()
{
double max_fitness, min_fitness;
int w_idx, b_idx;
max_fitness = min_fitness = populations[0].fitness;
w_idx = b_idx = 0;
for (int i = 1; i < pop_size; ++i) {
if (max_fitness < populations[i].fitness) {
max_fitness = populations[i].fitness;
b_idx = i;
}
if (min_fitness > populations[i].fitness) {
min_fitness = populations[i].fitness;
w_idx = i;
}
}
if (max_fitness >= best.fitness) {
best = populations[b_idx];
} else {
populations[w_idx] = best;
}
}
void GA_BuildTower::Select()
{
vector<GenoType> new_pop;
double sum = 0;
for (int i = 0; i < pop_size; ++i)
sum += populations[i].fitness;
for (int i = 0; i < pop_size; ++i)
populations[i].rfitness = populations[i].fitness / sum;
populations[0].cfitness = populations[0].rfitness;
for (int i = 1; i < pop_size; ++i)
populations[i].cfitness = populations[i-1].cfitness + populations[i].rfitness;
new_pop.clear();
for (int i = 0; i < pop_size; ++i) {
double p = rand()%1000/1000.0;
if (p < populations[0].cfitness) {
new_pop.push_back(populations[0]);
} else if (populations[pop_size-1].cfitness <= p) {
new_pop.push_back(best);
} else {
for (int j = 1; j < pop_size; ++j)
if (populations[j-1].cfitness <= p && p < populations[j].cfitness) {
new_pop.push_back(populations[j]);
break;
}
}
}
assert((int)new_pop.size() == pop_size);
populations = new_pop;
}
void GA_BuildTower::Mutate()
{
for (int i = 0; i < pop_size; ++i) {
for (int j = 0; j < gene_cnt; ++j) {
double p = rand()%1000/1000.0;
if (p < PMUTATION) {
if (populations[i].gene[j].level < 4) populations[i].gene[j].level += 1;
}
}
}
}
void GA_BuildTower::Xover(int idx0, int idx1)
{
int p0 = rand()%gene_cnt;
int p1 = rand()%gene_cnt;
swap(populations[idx0].gene[p0].position, populations[idx1].gene[p1].position);
}
void GA_BuildTower::Crossover()
{
int pre = -1;
for (int i = 0; i < pop_size; ++i) {
double p = rand()%1000/1000.0;
if (p < PXOVER) {
if (pre == -1)
pre = i;
else {
Xover(pre, i);
pre = -1;
}
}
}
}
void GA_BuildTower::Run()
{
for (int i = 0; i < generation_cnt; ++i) {
Select();
Crossover();
Mutate();
CalFitness();
Elitist();
}
}
void GA_BuildTower::SetArgs(int pop_size, int gene_cnt, int generation_cnt, const vector<Enemy>& enemy)
{
this->enemy = enemy;
this->pop_size = pop_size;
this->generation_cnt = generation_cnt;
this->gene_cnt = gene_cnt;
}
const vector<Tower>& GA_BuildTower::GetResult()
{
return best.gene;
}