// choose function for survival, crossover and local search
choose function for survival, crossover and local search
choose function for survival crossover and local search
pub fn choose_tournament_byfitness(fitneseses: &Vec<f32>, n_batches: &usize, m_per_batch: &usize) -> Vec<Vec<usize>> {
    if *n_batches == 0 || *m_per_batch == 0 {
        panic!("Cannot choose zero members of population");
    }
    if fitneseses.len() < *m_per_batch {
        panic!("Cannot choose more than entire population via tournament");
    }
    let mut out = Vec::with_capacity(*n_batches);
    for _ in 0..*n_batches {
        let mut ixs: Vec<usize> = (0..fitneseses.len()).collect();
        ixs.shuffle(&mut thread_rng());
        tournament(fitneseses, &mut ixs, m_per_batch);
        out.push(ixs);
    }
    out
}
pub fn choose_tournament_byfitness ( fitneseses : & Vec < f32 > , n_batches : & usize , m_per_batch : & usize ) -> Vec < Vec < usize > > { if * n_batches == 0 || * m_per_batch == 0 { panic ! ( " " ) ; } if fitneseses . len ( ) < * m_per_batch { panic ! ( " " ) ; } let mut out = Vec :: with_capacity ( * n_batches ) ; for _ in 0 .. * n_batches { let mut ixs : Vec < usize > = ( 0 .. fitneseses . len ( ) ) . collect ( ) ; ixs . shuffle ( & mut thread_rng ( ) ) ; tournament ( fitneseses , & mut ixs , m_per_batch ) ; out . push ( ixs ) ; } out }
choose function for survival, crossover and local search
choose function for survival crossover and local search
fitneseses
&Vec<f32>
n_batches
&usize
m_per_batch
&usize