normalizeFront: Normalize a pareto front
In mco: Multiple Criteria Optimization Algorithms and Related Functions
Description
Usage
Arguments
Value
Author(s)
Description
Rescales a pareto front to be in the unit hypercube
Usage
1
normalizeFront(front, minval, maxval)
Arguments
front
Matrix containing the pareto front
minval
Vector containing the minimum value of each
objective. May be omitted.
maxval
Vector containing the maximum value of each
objective. May be omitted.
Value
Matrix containing the rescaled pareto front.
Author(s)
Heike Trautmann trautmann@statistik.uni-dortmund.de,
Detlef Steuer steuer@hsu-hamburg.de and
Olaf Mersmann olafm@statistik.uni-dortmund.de
mco documentation built on Oct. 23, 2020, 8:05 p.m.
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Description Usage Arguments Value Author(s)
Description
Rescales a pareto front to be in the unit hypercube
Usage
1 | normalizeFront(front, minval, maxval)
|
Arguments
front |
Matrix containing the pareto front |
minval |
Vector containing the minimum value of each objective. May be omitted. |
maxval |
Vector containing the maximum value of each objective. May be omitted. |
Value
Matrix containing the rescaled pareto front.
Author(s)
Heike Trautmann trautmann@statistik.uni-dortmund.de, Detlef Steuer steuer@hsu-hamburg.de and Olaf Mersmann olafm@statistik.uni-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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