Home > Mateda2.0 > knowledge_extraction > Amount_of_selection.m

# Amount_of_selection

## PURPOSE

[S] = Amount_of_selection(AllFunVals,AllSelFunVals)

## SYNOPSIS

function[S] = Amount_of_selection(AllFunVals,AllSelFunVals)

## DESCRIPTION

     [S] = Amount_of_selection(AllFunVals,AllSelFunVals)
     Response_to_selection: Computes the amount of selection for every
                            objective $S(t) = \bar{f}_{s}(t) -\bar{f}(t+1)$.

     INPUT
     AllFunVals{maxgen} = FunVals(PopSize,n_objectives): Cell array that stores the evaluations of all the objectives
                                                         for all the individuals in every generation
     AllSelFunVals{maxgen} = FunVals(PopSize,n_objectives): Cell array that stores the evaluations of all the objectives
                                                         for the selected  individuals in every generation
      OUTPUT
      S: Amount of selection at each generation k>1
      Example:
      for i=1:ngen, auxr{1,i} = Cache{4,i}; auxs{1,i} = Cache{5,i}; end,
      [S] = Amount_of_selection(auxr,auxs)

     Last version 8/26/2008. Roberto Santana (roberto.santana@ehu.es)

## CROSS-REFERENCE INFORMATION

This function calls:

This function is called by:

- FitnessMeasuresComp %%%%%%%%%%%%%%% COMPUTATION OF FITNESS RELATED MEASURES %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
- Realized_heritability [b] = Realized_heritability(AllFunVals,AllSelFunVals)

## SOURCE CODE

    0001 function[S] = Amount_of_selection(AllFunVals,AllSelFunVals)
    0002 % [S] = Amount_of_selection(AllFunVals,AllSelFunVals)
    0003 % Response_to_selection: Computes the amount of selection for every
    0004 %                        objective $S(t) = \bar{f}_{s}(t) -\bar{f}(t+1)$.
    0005 %
    0006 % INPUT
    0007 % AllFunVals{maxgen} = FunVals(PopSize,n_objectives): Cell array that stores the evaluations of all the objectives
    0008 %                                                     for all the individuals in every generation
    0009 % AllSelFunVals{maxgen} = FunVals(PopSize,n_objectives): Cell array that stores the evaluations of all the objectives
    0010 %                                                     for the selected  individuals in every generation
    0011 %  OUTPUT
    0012 %  S: Amount of selection at each generation k>1
    0013 %  Example:
    0014 %  for i=1:ngen, auxr{1,i} = Cache{4,i}; auxs{1,i} = Cache{5,i}; end,
    0015 %  [S] = Amount_of_selection(auxr,auxs)
    0016 %
    0017 % Last version 8/26/2008. Roberto Santana (roberto.santana@ehu.es)
    0018
    0019 k = size(AllFunVals,2);                % Number of generations
    0020 n_objectives = size(AllFunVals{1},2);  % Number of objectives
    0021 PopSize =  size(AllFunVals{1},1);      % Population size
    0022
    0023 for i=2:k,
    0024   S{i} = mean(AllFunVals{i}) - mean(AllSelFunVals{i-1});
    0025 end