Macro simple_optimization::simulated_annealing

macro_rules! simulated_annealing {
    (
        // Generic
        ($($x:expr),*),
        $f: expr,
        $evaluation_data: expr,
        $polling: expr,
        $threads: expr,
        // Specific
        $starting_temperature: expr,
        $minimum_temperature: expr,
        $cooling_schedule: expr,
        $samples_per_temperature: expr,
        $variance: expr,
    ) => { ... };
}

Castes all given ranges to f64 values and calls simulated_annealing().

use std::sync::Arc;
use simple_optimization::{simulated_annealing, Polling};
fn simple_function(list: &[f64; 3], _: Option<Arc<()>>) -> f64 {
 list.iter().sum()
}
let best = simulated_annealing!(
    (0f64..10f64, 5u32..15u32, 10i16..20i16), // Value ranges.
    simple_function, // Evaluation function.
    None, // No additional evaluation data.
    // By using `new` this defaults to polling every `10ms`, we don't print progress `false` and exit early if `19.` or less is reached.
    Some(Polling::new(false,Some(17.))),
    None, // We don't specify the number of threads.
    100., // Starting temperature is `100.`.
    1., // Minimum temperature is `1.`.
    simple_optimization::CoolingSchedule::Fast, // Use fast cooling schedule.
    // Take `100` samples per temperature
    // This is split between threads, so each thread only samples
    //  `100/n` at each temperature.
    100,
    1., // Variance in sampling.
);
assert!(simple_function(&best, None) < 19.);