simple_optimization

一些简单的多线程优化器。

你可以进行类似以下随机的搜索

use std::sync::Arc;
use simple_optimization::{random_search, Polling};
// Our evaluation function takes 3 `f64`s and no additional data `()`.
fn simple_function(list: &[f64; 3], _: Option<Arc::<()>>) -> f64 { list.iter().sum() }
let best = random_search!(
    (0f64..10f64, 5u32..15u32, 10i16..20i16), // Value ranges.
    simple_function, // Evaluation function.
    None, // No additional evaluation data.
    // Every `10ms` we print progress and exit early if `simple_function` return a value less than `19.`.
    Some(Polling::new(true,Some(19.))),
    None, // We don't specify the number of threads to run.
    1000, // Take `1000` samples.
);
assert!(simple_function(&best, None) < 19.);

在执行过程中将给出如下输出

1000
 500 (50.00%) 00:00:11 / 00:00:47 [25.600657363049734]

表示

<Total number of samples>
<Current number of samples> (<Percentage of samples taken>) <Time running> / <ETA> [<Current best value>]

支持

由于我找到的现有库感觉不太舒服，所以我制作了这个。