createWeights: Das and Dennis's structured weight generation, normal...
In dots26/MaOEA: Many Objective Evolutionary Algorithm
createWeights R Documentation
Das and Dennis's structured weight generation, normal boundary intersection (NBI).
Description
Generate a set of weights following Das and Dennis's method. Each column returned is a weight vector.
Usage
createWeights(nDim, axisDivision = nDim + 2, noZero = FALSE)
Arguments
nDim
The dimensionality of the problem. In EA, usually this is used in the objective space, hence nDim = nObjective
axisDivision
Used only when no weights are supplied. An input for the structured weight distribution. This defines how many division are created in each axis.
noZero
Default to false. If set to TRUE, reference vector containing zero, e.g. (1,0,0) will be removed. Used to generate weight in modified tch method.
Value
The function return a set of weight vectors.
References
Indraneel Das and J. E. Dennis. 1998. Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems. SIAM Journal on Optimization 1998 8:3, 631-657.
Examples
nObjective <- 3
axisDiv <- 6
createWeights(nObjective,axisDiv)
dots26/MaOEA documentation built on Jan. 26, 2023, 4:34 a.m.
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| createWeights | R Documentation |
Das and Dennis's structured weight generation, normal boundary intersection (NBI).
Description
Generate a set of weights following Das and Dennis's method. Each column returned is a weight vector.
Usage
createWeights(nDim, axisDivision = nDim + 2, noZero = FALSE)
Arguments
nDim |
The dimensionality of the problem. In EA, usually this is used in the objective space, hence nDim = nObjective |
axisDivision |
Used only when no weights are supplied. An input for the structured weight distribution. This defines how many division are created in each axis. |
noZero |
Default to false. If set to TRUE, reference vector containing zero, e.g. (1,0,0) will be removed. Used to generate weight in modified tch method. |
Value
The function return a set of weight vectors.
References
Indraneel Das and J. E. Dennis. 1998. Normal-Boundary Intersection: A New Method for Generating the Pareto Surface in Nonlinear Multicriteria Optimization Problems. SIAM Journal on Optimization 1998 8:3, 631-657.
Examples
nObjective <- 3 axisDiv <- 6 createWeights(nObjective,axisDiv)
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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