[SelPop,SelFunVal]=truncation_selection(Pop,FunVal,selection_params)
truncation_selection: Truncation selection
Individuals are ordered according the given
ordering criterion and then, the best T*PopSize are selected.
INPUTS
Pop: Original population
FunVal: A matrix of function evaluations, one vector of m objectives for each individual
selection_params{1}: Truncation parameter T \in (0,1)
OUTPUTS
SelPop: Selected population
SelFunVal: A vector of function evaluations for each selected individual
Last version 8/26/2008. Roberto Santana (roberto.santana@ehu.es)0001 function[SelPop,SelFunVal]=truncation_selection(Pop,FunVal,selection_params) 0002 % [SelPop,SelFunVal]=truncation_selection(Pop,FunVal,selection_params) 0003 % truncation_selection: Truncation selection 0004 % Individuals are ordered according the given 0005 % ordering criterion and then, the best T*PopSize are selected. 0006 % INPUTS 0007 % Pop: Original population 0008 % FunVal: A matrix of function evaluations, one vector of m objectives for each individual 0009 % selection_params{1}: Truncation parameter T \in (0,1) 0010 % OUTPUTS 0011 % SelPop: Selected population 0012 % SelFunVal: A vector of function evaluations for each selected individual 0013 % 0014 % Last version 8/26/2008. Roberto Santana (roberto.santana@ehu.es) 0015 0016 PopSize = size(Pop,1); 0017 0018 T = cell2num(selection_params{1}(1)); % The parameter used by truncation selection is the truncation parameter 0019 ordering_criterion = char(cellstr(selection_params{1}(2))); 0020 number_objectives = size(FunVal,2); 0021 SelPopSize = floor(T*PopSize); 0022 0023 0024 Index = eval([ordering_criterion,'(Pop,FunVal)']); 0025 SelPop = Pop(Index(1:SelPopSize),:); 0026 SelFunVal = FunVal(Index(1:SelPopSize),:); 0027 0028 return 0029 0030 0031 0032