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Scilab help >> Genetic Algorithms > selection_ga_elitist

# selection_ga_elitist

An 'elitist' selection function

### Calling Sequence

`[Pop_out,FObj_Pop_out,Efficiency,MO_Total_FObj_out] = selection_ga_elitist(Pop_in,Indiv1,Indiv2,FObj_Pop_in,FObj_Indiv1,FObj_Indiv2,MO_Total_FObj_in,MO_FObj_Indiv1,MO_FObj_Indiv2,param)`

### Arguments

Pop_in

The initial population of individuals.

Indiv1

a first set of childs generated via crossover + mutation.

Indiv2

a second set of childs generated via crossover + mutation.

FObj_Pop_in

a vector of objective function values associated to each individuals of Pop_in.

FObj_Indiv1

a vector of objective function values associated to each individuals of Indiv1.

FObj_Indiv2

a vector of objective function values associated to each individuals of Indiv2.

MO_Total_FObj_in

a matrix of multi-objective function values associated to each individuals of Pop_in.

MO_FObj_Indiv1

a matrix of multi-objective function values associated to each individuals of Indiv1.

MO_FObj_Indiv2

a matrix of multi-objective function values associated to each individuals of Indiv2.

param

a list of parameters. - 'pressure': the selection pressure coefficient. Each individuals with 0 efficiency will have an efficiency value equal to 'pressure'.

Pop_out

all the selected individuals in a population of size pop_size.

FObj_Pop_out

all the objective function values associated to each individuals of Pop_out.

Efficiency

all the efficiency values associated to each individuals of Pop_out.

MO_Total_FObj_out

all the multi-objective function values associated to each individuals of Pop_out.

### Description

• This function performs the elitist selection function. We select the best individuals in the set of parents and childs individuals.