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 children generated via crossover + mutation.
: :Indiv2 a second set of children 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 children individuals.