[Index]=fitness_ordering(Pop,FunVal)
fitness_ordering: Individuals are ordered according to the
ranking of its fitness values (best is the maximum)
For multiobjetive functions, individuals are ordered according
average ranking for all the objectives. (i.e. for each objective an ordering
is done, and they are averaged later.
INPUTS
Pop: Population
FunVal: A matrix of function evaluations, one vector of m objectives for each individual
OUTPUTS
Index: Ordered index of the individuals in the population
Last version 8/26/2008. Roberto Santana (roberto.santana@ehu.es)0001 function[Index]=fitness_ordering(Pop,FunVal) 0002 % [Index]=fitness_ordering(Pop,FunVal) 0003 % fitness_ordering: Individuals are ordered according to the 0004 % ranking of its fitness values (best is the maximum) 0005 % For multiobjetive functions, individuals are ordered according 0006 % average ranking for all the objectives. (i.e. for each objective an ordering 0007 % is done, and they are averaged later. 0008 % INPUTS 0009 % Pop: Population 0010 % FunVal: A matrix of function evaluations, one vector of m objectives for each individual 0011 % OUTPUTS 0012 % Index: Ordered index of the individuals in the population 0013 % 0014 % Last version 8/26/2008. Roberto Santana (roberto.santana@ehu.es) 0015 0016 number_objectives = size(FunVal,2); 0017 PopSize = size(Pop,1); 0018 0019 if number_objectives==1 0020 [Val,Ind]= sort(FunVal(:,1)); 0021 Index = Ind(PopSize:-1:1); 0022 else 0023 Rank = zeros(1,PopSize); 0024 for i=1:number_objectives 0025 [Val,Ind]= sort(FunVal(:,i)); 0026 Rank(Ind) = Rank(Ind) + [1:PopSize]; 0027 end 0028 [Val,FinalInd] = sort(Rank); 0029 Index = FinalInd(PopSize:-1:1); 0030 end 0031 0032 0033 return 0034 0035 0036 0037