GenerateCrossesfromElites: Generate crosses from elites

Description Usage Arguments Value Author(s)

View source: R/GenerateCrossesfromElites.R

Description

Given a list of elite training sets, list of candidates the function makes npop new solutions by using crossover and mutation operators.

Usage

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GenerateCrossesfromElites(Elites, Candidates, npop, mutprob, mc.cores = 1,
                 mutintensity = 1, memoryfortabu = NULL)

Arguments

Elites

a list of elite training sets

Candidates

a vector of identifiers of the individuals in the candidate set.

npop

number of training sets to generate.

mutprob

point mutation probability for each individual generated. Only one mutation per solution is allowed.

mc.cores

number of cores to use.

mutintensity

mean of the poisson variable that is used to decide the number of mutations for each cross.

memoryfortabu

tabu memory

Value

A list of npop training sets.

Author(s)

Deniz Akdemir


STPGA documentation built on May 29, 2017, 3:44 p.m.