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[Chrom, ObjVCh] = reinsreg(Chrom, SelCh, SUBPOPCh, SUBPOPSel, InsOpt, ObjVCh, ObjVSel, RankCh, RankSel, Dummy);

REINSertion of offspring in REGional population model replacing parents This function performs insertion of offspring into the current population, replacing parents with offspring and returning the resulting population. The population can be divided in different subpopulation (regional model). The offspring are contained in the matrix SelCh and the parents in the matrix Chrom. Each row in Chrom and Selch corresponds to one individual. If the objective values of the population (ObjVCh) and the offspring (ObjVSel) are input parameter and ObjVCh is output parameter the objective values are copied, according to the insertion of offspring, saving the recomputation of the objective values for the whole population. The function can handle multiple objective values per individual. For fitness-based reinsertion the fitness values/ranking of the population (RankCh) are needed. If omitted or empty single objective scaling using the first column of ObjVCh is assumed. If the number of offspring is greater than the number of offspring to reinsert the fitness values/ranking of the offspring (RankSel) are needed. If omitted or empty single objective scaling using the first column of ObjVSel is assumed. Different size of every subpopulation is supported. Syntax: [Chrom, ObjVCh] = reinsreg(Chrom, SelCh, SUBPOPCh, SUBPOPSel, InsOpt, ObjVCh, ObjVSel, RankCh, RankSel) Input parameters: Chrom - Matrix containing the individuals (parents) of the current population. Each row corresponds to one individual. SelCh - Matrix containing the offspring of the current population. Each row corresponds to one individual. SUBPOPCh - (optional) Vector/scalar containing number of individuals per subpopulation/number of subpopulations of Chrom (parents) if omitted or NaN, 1 subpopulation is assumed SUBPOPSel - (optional) Vector/scalar containing number of individuals per subpopulation/number of subpopulations of SelCh (offspring) if omitted or NaN, the same as SUBPOPCh is initially assumed InsOpt - (optional) Vector containing the insertion method parameters InsOpt(1): Select - number indicating kind of insertion 0 - uniform insertion >=2 - fitness-based insertion if omitted or NaN, 0 is assumed InsOpt(2): INSR - Rate of offspring to be inserted per subpopulation (% of subpopulation) if omitted or NaN, 1.0 (100%) is assumed ObjVCh - (optional) Column vector or matrix containing the objective values of the individuals (parents - Chrom) in the current population, needed for fitness-based insertion saves recalculation of objective values for population ObjVSel - (optional) Column vector or matrix containing the objective values of the offspring (SelCh) in the current population, needed for partial insertion of offspring, saves recalculation of objective values for population RankCh - (optional) Column vector containing the fitness values (obtained by ranking) of the individuals (parents - Chrom) in the current population, best individual has highest value, if omitted or empty, single objective scaling using ObjVCh is assumed RankSel - (optional) Column vector containing the fitness values (obtained by ranking) of the offspring (SelCh) in the current population, best offspring has highest value if omitted or empty, single objective scaling using ObjVSel is assumed Output parameters: Chrom - Matrix containing the individuals of the current population after reinsertion. ObjVCh - if ObjVCh and ObjVSel are input parameter, than column vector containing the objective values of the individuals of the current generation after reinsertion. See also: reins, reinsloc, sellocal, ranking, geamain

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