selection_ga_elitist

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.

See Also

• selection_ga_random — A function which performs a random selection of individuals
• mutation_ga_default — A continuous variable mutation function
• crossover_ga_default — A crossover function for continuous variable functions
• init_ga_default — A function a initialize a population
• optim_ga — A flexible genetic algorithm

Authors

Yann COLLETTE

ycollet@freesurf.fr