nds_hv_selection: Selection strategies
In emoa: Evolutionary Multiobjective Optimization Algorithms
nds_hv_selection R Documentation
Selection strategies
Description
Selection strategies for EMOA.
Usage
nds_hv_selection(values, n = 1, ...)
nds_cd_selection(values, n = 1, ...)
Arguments
values
Matrix of function values.
n
Number of individuals to select for
replacement.
...
Optional parameters passed to
hypervolume_contribution.
Details
The currently implemented strategies are nondominated
sorting followed by either hypervolume contribution or
crowding distance based ranking. Both of these
implementations are currently limited to selecting a
single individual for replacement.
Author(s)
Olaf Mersmann olafm@statistik.tu-dortmund.de
emoa documentation built on May 31, 2023, 8:40 p.m.
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| nds_hv_selection | R Documentation |
Selection strategies
Description
Selection strategies for EMOA.
Usage
nds_hv_selection(values, n = 1, ...)
nds_cd_selection(values, n = 1, ...)
Arguments
values |
Matrix of function values. |
n |
Number of individuals to select for replacement. |
... |
Optional parameters passed to
|
Details
The currently implemented strategies are nondominated sorting followed by either hypervolume contribution or crowding distance based ranking. Both of these implementations are currently limited to selecting a single individual for replacement.
Author(s)
Olaf Mersmann olafm@statistik.tu-dortmund.de
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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