Struct metaheuristics_nature::TLBO

pub struct TLBO<F: ObjFunc> { /* fields omitted */ }

Teaching Learning Based Optimization type.

Trait Implementations

impl<F> Algorithm<F> for TLBO<F> where
    F: ObjFunc, 

type Setting = TLBOSetting

The setting type of the algorithm.

fn create(func: F, settings: Self::Setting) -> Self

Create the task.

fn base(&self) -> &AlgorithmBase<F>

Return a base handle.

fn base_mut(&mut self) -> &mut AlgorithmBase<F>

Return a mutable base handle.

fn generation(&mut self)

Processing implementation of each generation.

fn init(&mut self)

Initialization implementation.

fn lb(&self, i: usize) -> f64

Get lower bound with index.

fn ub(&self, i: usize) -> f64

Get upper bound with index.

fn assign_from<'a, A>(&mut self, i: usize, f: f64, v: A) where
    A: AsArray<'a, f64>, 

Assign from source.

fn find_best(&mut self)

Find the best, and set it globally.

fn init_pop(&mut self)

Initialize population.

fn check(&self, s: usize, v: f64) -> f64

Check the bounds of the index s with the value v.