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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
| This function calls | This function is called by |
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