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
|
#![allow(non_snake_case)]
use std::fmt;
use text_io::{read};
mod generation;
use generation::Generation;
mod gene;
use gene::Gene;
mod chromosome;
impl fmt::Display for Generation {
fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
let best = self.population
.iter()
.min_by(|a, b| a.fitness.partial_cmp(&b.fitness).unwrap())
.unwrap();
for cityi in &best.genes[..best.genes.len()-1] {
let curr = &self.map[*cityi];
if curr.name.is_empty() {
write!(f, "({},{}) -> ", curr.x, curr.y)?;
}
else {
write!(f, "{} -> ", curr.name)?;
}
}
let last = &self.map[*best.genes.last().unwrap()];
if last.name.is_empty() {
writeln!(f, "({},{})", last.x, last.y)?;
}
else {
writeln!(f, "{}", last.name)?;
}
writeln!(f, "{}", best.fitness)
}
}
fn main() {
let mut G: Generation;
let input: String = read!();
let N = input.parse::<usize>();
if N.is_ok() {
let N = N.unwrap();
G = Generation::new_from_random(N);
}
else {
let names: Vec<String> = std::fs::read_to_string([input.clone(), "_name.csv".to_string()].concat())
.expect("Couldn't open points file: ..._name.csv")
.lines()
.map(|x| x.to_string())
.collect();
let points: Vec<Gene> = std::fs::read_to_string([input, "_xy.csv".to_string()].concat())
.expect("Couldn't open points file: ..._xy.csv")
.lines()
.enumerate()
.map(|(i, l)| {
let coords: Vec<&str> = l.split(',').collect();
Gene {
x: coords[0].parse::<f64>().unwrap(),
y: coords[1].parse::<f64>().unwrap(),
name: names[i].clone(),
}
})
.collect();
G = Generation::new_from_map(points);
}
println!("{}", G.best_fitness());
let mut i = 0;
while ! G.terminated() {
if i < 8 {
println!("{}", G.best_fitness());
i += 1;
}
G.selection_crossover();
G.mutate();
G = G.next_generation();
}
println!("");
println!("{}", G);
/* For debugging */
// let best = G.population
// .iter()
// .min_by(|a, b| a.fitness.partial_cmp(&b.fitness).unwrap())
// .unwrap();
// println!("{} {}", best.genes.first().unwrap(), best.genes.last().unwrap());
}
|