Scilab Home page | Wiki | Bug tracker | Forge | Mailing list archives | ATOMS | File exchange
Please login or create an account
Change language to: Français - Português do Brasil - 日本語 -
Scilab help >> Genetic Algorithms > pareto_filter

pareto_filter

A function which extracts non dominated solution from a set

Calling Sequence

[F_out,X_out,Ind_out] = pareto_filter(F_in,X_in)

Arguments

F_in

the set of multi-objective function values from which we want to extract the non dominated solutions.

X_in

the associated values in the parameters space.

F_out

the set of non dominated multi-objective function values.

X_out

the associated values in the parameters space.

Ind_out

the set of indexes of the non dominated individuals selected from the set X_in.

Description

  • This function applies a Pareto filter to extract non dominated solutions from a set of values.

See Also

  • optim_moga — multi-objective genetic algorithm
  • optim_nsga — A multi-objective Niched Sharing Genetic Algorithm
  • optim_nsga2 — A multi-objective Niched Sharing Genetic Algorithm version 2

Authors

Yann COLLETTE

ycollet@freesurf.Fr

<< optim_nsga2 Genetic Algorithms selection_ga_elitist >>

Consortium Scilab (DIGITEO)
Scilab Enterprises

Copyright (c) 2011-2012 (Scilab Enterprises)
Copyright (c) 1989-2012 (INRIA)
Copyright (c) 1989-2007 (ENPC)
with contributors
Last updated:
Wed Oct 05 12:09:59 CEST 2011